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  • Reuters-21578
    ...s a collection of documents that appeared on Reuters newswire in 1987. The documents were assembled and indexed with categories.
    218 bytes (29 words) - 02:18, 27 September 2012
  • Document representation
    ...sent documents in the collection serving as the search space and index the documents accordingly.
    265 bytes (33 words) - 03:07, 6 November 2012
  • Authority Identification
    ...about identifying authoritative documents in a given domain. Authoritative documents are ones which exhibit novel and relevant information relative to a documen Identifying such documents would be helpful in summarizing the information present in the collection w
    543 bytes (71 words) - 19:41, 3 October 2012
  • Tf * idf
    ...the term frequency multiplied by the inverse document frequency (number of documents the term appears in within the corpus).
    275 bytes (34 words) - 11:14, 3 October 2012
  • Query expansion
    ...the search scope by overcoming vocabulary mismatch between user query and documents in collection.
    391 bytes (51 words) - 03:04, 6 November 2012
  • Relational topic model
    ...egression]] with weight vector eta, and a measure of similarity of the two documents, using Hadamad product of the topic weights.
    1 KB (197 words) - 18:09, 1 February 2011
  • Reuters 21578
    ...t|dataset]] is used for text categorization classification, and consist of documents that appeared on the Reuters Newswire in 1987. ...The first 21 files contain 1000 documents each, and the 22nd contains 578 documents. The formatting of the data is in SGML format.
    1 KB (143 words) - 00:02, 26 September 2011
  • Ye and Chua (2006)
    ...ically construct object data and induce object models from complicated Web documents, such as the technical descriptions of personal computers and digital camer
    2 KB (226 words) - 21:09, 1 October 2012
  • Ye and Chua 2006
    ...ically construct object data and induce object models from complicated Web documents, such as the technical descriptions of personal computers and digital camer
    2 KB (226 words) - 21:59, 1 October 2012
  • Online inference model for LDA
    By definition, online reference refers to the inference on newly arrived documents after the batch training process
    115 bytes (17 words) - 00:02, 5 April 2011
  • Web pages
    This refers to any [[Category::dataset]] comprised of random documents that are available in the World Wide Web and can be accessed through a web
    154 bytes (26 words) - 03:58, 30 September 2011
  • Co-clustering documents and words using bipartite spectral graph partitioning
    Inderjit S. Dhillon. 2001. Co-clustering documents and words using bipartite spectral graph partitioning. KDD. ...odeling the document collection]] as a [[Method::bipartite graph]] between documents and words, using which the simultaneous clustering problem can be posed as
    1 KB (164 words) - 01:57, 28 March 2011
  • Document modeling
    ...of estimating the underlying model using which the document or the set of documents were generated.
    124 bytes (20 words) - 21:08, 3 October 2012
  • 20060501.xml dataset
    A [[category::Dataset]] consisting of blog documents drawn from blogs that resemble personal journals.
    210 bytes (22 words) - 11:26, 3 October 2012
  • Duplicate Document Detection
    ...refers to the [[category::problem]] of identifying approximately duplicate documents or strings.
    221 bytes (23 words) - 15:29, 28 September 2011
  • Cyberjournalist.net dataset
    A [[category::Dataset]] consisting of blog documents drawn from blogs that resemble newspaper articles, rather than personal blo
    245 bytes (27 words) - 11:25, 3 October 2012
  • Cosine similarity
    ...nding the cosine similarity between the vectors corresponding to these two documents. Each element of vector A and vector B is generally taken to be tf-idf weig Widely used for calculating the similarity of documents using the bag-of-words and vector space models
    1 KB (210 words) - 00:49, 7 February 2011
  • MPQA Multi-Perspective Question Answering
    This corpus contains news articles and other text documents manually annotated for opinions and other private states.
    329 bytes (36 words) - 21:25, 26 September 2012
  • Ontology refinement
    ...nformation retrieval tasks, such as: query expansion, semantic indexing of documents and search results organization.
    326 bytes (37 words) - 15:30, 25 September 2011
  • Peak Detection
    ...n entity of interest in a time window ''c'' is compared with the counts of documents containing the entity in the leading ''k'' windows. The entity is said to b
    926 bytes (138 words) - 08:52, 2 November 2011
  • The structure of scientific collaboration
    Networks of references between documents such as papers, patents, or court cases.
    276 bytes (36 words) - 23:50, 6 February 2011
  • Expert search
    ...' aims to automatically find professional specialists from a collection of documents. An example is that we can discover experts in individual areas from scient
    414 bytes (60 words) - 15:39, 29 September 2012
  • Expert Search
    ...' aims to automatically find professional specialists from a collection of documents. An example is that we can discover experts in individual areas from scient
    414 bytes (60 words) - 20:32, 3 October 2012
  • Leskovec, Backstrom and Kleinberg KDD 09 News and Blog dataset
    ...with about 1 million documents per day. In total it consist of 90 million documents (blog posts and news articles) from 1.65 million different sites obtained t 30% of the total number of documents in our dataset.
    2 KB (281 words) - 18:23, 22 April 2011
  • CiteSeer
    * The CiteSeer dataset contains 1,504 machine learning documents with 2,892 author references to 1,165 author entities.
    391 bytes (45 words) - 00:51, 1 April 2011
  • NTCIR-6 Opinion
    ...o sentences in the selected documents that are relevant to the topics. The documents that are annotated are separately distributed in a sentence-segmented forma
    1 KB (145 words) - 21:38, 26 September 2012
  • L. Ku, Y. Liang, and H. Chen. Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI-2006
    Documents related to the issue of animal cloning are contains 25 documents. All documents in the same set are
    4 KB (534 words) - 18:44, 26 October 2012
  • Vector space models
    ...or model) is an algebraic [[Category::Method|model]] for representing text documents (and any objects, in general) as vectors of identifiers, such as, for examp
    439 bytes (65 words) - 20:35, 30 September 2012
  • Kashoob, Caverlee and Ding ICWSM 2009
    ...ir frequency. This paper seeks to present a better model for understanding documents with associated tag data, using unlabeled data to uncover latent structure ...categories are latent variables, whereas the content and social annotation documents are visible.
    5 KB (800 words) - 10:28, 3 October 2012
  • Bethard cikm2010
    Documents are ranked based on their scores. <br> ** TF-IDF between Q and all documents cited D
    4 KB (572 words) - 23:08, 2 April 2011
  • 20 Newsgroups
    The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. It was origina
    485 bytes (65 words) - 02:19, 27 September 2012
  • Hyeju Jang et al IRI 2006
    ...ions of "progress after hospital stay" of Clinical Data Architecture (CDA) documents, which came from Seoul National University Hospital. The data is not public The evaluation was performed on 200 documents for training and 100 documents for test with 3 fold validation. The performance of the system is not high,
    2 KB (313 words) - 16:06, 21 October 2010
  • Pasca, WWW 2007
    ...of an extensive World Wide Web of facts can be achieved by mining the Web documents. This step has been described in [[RelatedPaper::Pasca et al, AAAI 2006]]. There are some differences in mining queries vs documents. These are:
    3 KB (486 words) - 04:20, 22 November 2010
  • Event detection
    ...from a stream of time-stamped information. Approaches usually aim to group documents belonging to the same event into a single cluster.
    657 bytes (94 words) - 19:42, 30 September 2012
  • Comparison Rosen-Zvi el al and cohn et al
    ...hors_and_Documents Rosen-Zvi et al, The Author-Topic Model for Authors and Documents] ...in that they have a common '''big idea''' of being able to cluster similar documents, with using more than just the terms in the document. Both the papers use m
    2 KB (334 words) - 17:42, 5 November 2012
  • This paper demonstrates how each of these methods can divide the structure of large-scale network.
    graphs of citations between documents. Using the network of citations between opinions handed down by the
    754 bytes (108 words) - 01:22, 7 February 2011
  • Gabrilovich and Markovitch IJCAI 2007
    ...ection has 353 pairs of words, and the other collection has 1,225 pairs of documents. Both have human judgments as gold standards.
    2 KB (291 words) - 22:30, 30 November 2010
  • Inferring the Diffusion and Evolution of Topics in Social Communities
    ...content evolution of the topics, where novel contents are introduced in by documents which adopt the topic. Unlike an explicit user behavior (e.g., buying a DVD ...r task as an joint inference problem, taking into consideration of textual documents, social influences, and topic evolution in a unified way. Specifically,
    5 KB (702 words) - 22:42, 5 November 2012
  • Pagerank
    ...that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative i
    688 bytes (101 words) - 08:06, 4 October 2012
  • Rosen-Zvi et al, The Author-Topic Model for Authors and Documents
    Rosen-Zvi et al, The Author-Topic Model for Authors and Documents * Build a [[UsesMethod:: Topic Model]] which could model the documents generation process by assigning each author with a separate topic mixture c
    3 KB (504 words) - 00:13, 1 April 2011
  • Mao and G. Lebanon, 2006
    We examine the problem of predicting local sentiment flow in documents, and its
    674 bytes (100 words) - 22:16, 5 November 2012
  • Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs
    ...l derived models, this one is not completely generative due to hyperlinked documents being fixed. ...sets of 1,124 (doesn't explicitly state what happened to the duplicated 68 documents - which could be a potential source of overfitting). The model needs a bipa
    5 KB (740 words) - 22:21, 1 December 2012
  • The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
    * Identifying topics and common subjects covered by documents. * Identifying authoritative documents on a given topic.
    4 KB (610 words) - 17:08, 5 November 2012
  • Wu and Weld CIKM 2007
    ...ontain attributes as the positive sample. The rest of the sentences in the documents are used as negative samples.
    2 KB (318 words) - 17:18, 5 October 2010
  • Hyejuj project abstract
    ...phrases in clinical narrative texts. I am going to use clinical narrative documents written by Korean doctors. The high level concept information which will be ...s such clinical texts automatically in Korea. Semantic tagging on clinical documents will be able to help developing applications which can be useful for doctor
    4 KB (637 words) - 04:48, 9 October 2010
  • "Wu and Weld CIKM 2007"
    ...ontain attributes as the positive sample. The rest of the sentences in the documents are used as negative samples.
    2 KB (330 words) - 14:21, 26 September 2010
  • Bootstrapping
    ...the larger seed set; new models can then be trained on the newly labelled documents. ...ery high-precision indicator. Using these seeds, labels can be assigned to documents containing those seeds. If the seeds are balanced across classes, this will
    4 KB (667 words) - 02:13, 30 November 2011
  • Rosen-Zvi et al UAI 2004
    The Author-Topic Model for Authors and Documents. Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers, Padhraic Smyth. In Proc ...atalab.uci.edu/author-topic/398.pdf The Author-Topic Model for Authors and Documents]
    2 KB (353 words) - 23:22, 26 September 2012
  • Cross Document Coreference (CDC)
    ...eference (CDC) is the task of extracting all the noun phrases from all the documents in a corpus, and clustering them according to the real-world entity that th ..., an additional layer of complexity is introduced: clusters from different documents must also be resolved as describing the same real-world entity or not.
    4 KB (521 words) - 02:11, 28 September 2010
  • Cohn et al, Advances in Neural Information Processing Systems 2001
    ...ich could jointly model the documents along with the citations between the documents. Both the words and citations in a document are dependent on the topic prop
    3 KB (380 words) - 21:01, 28 March 2011
  • Blei et al, 2002
    - N words of documents are shown by <math> w=\{w_1,w_2,...,w_N\}</math> ...ers are estimated using maximum likelihood estimation on a set of training documents. For inference, one approach is to approximate parameter <math> \phi </math
    4 KB (616 words) - 16:55, 24 November 2010
  • Segmented Topic Model
    ...ew form of topic model which can take into account the inner structures in documents.
    733 bytes (112 words) - 15:54, 29 September 2012
  • Dong et al WWW 2010
    ...e queries pose a particular problem for search engines because very recent documents may not even be indexed yet, and even if they are indexed, there may be a r #Twitter is likely to contain URLs of uncrawled documents likely to be relevant to recency sensitive queries.
    6 KB (944 words) - 10:22, 29 March 2011
  • Barzilay and Elhadad, 2003
    This paper studies the problem of aligning documents at the sentence level when they are on the same topic or are describing the ...tiple components, first clustering paragraphs within-corpus, then aligning documents at the paragraph level (essentially marking candidate sentence-sentence pai
    5 KB (807 words) - 08:10, 30 September 2011
  • Tag Predicting For Stackoverflow
    ...ce that they are labeled correctly.Use these high-confidence fresh labeled documents as the input and build the feature graph again. This step can be done itera
    3 KB (408 words) - 00:25, 16 October 2012
  • Huang et al, Coling 2010: Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization
    ...Taylor and C. Lee Giles. 2010. Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization. In Procee ...essesProblem::Cross Document Coreference (CDC)]] for web-scale coropora of documents, by using document-level categories, sub-document level context and extract
    5 KB (658 words) - 15:58, 7 December 2010
  • Clustering
    e.g clustering of similar documents, summarization etc.
    1 KB (142 words) - 00:42, 7 February 2011
  • Github Repo Recommendation:Topic Model meets Code
    ...n topics from a subset of the documents? If yes, how can we collect sample documents that are representative of the original distribution? ...ccurately model the corpus by modeling it as a collection of collection of documents?
    4 KB (592 words) - 10:14, 16 October 2012
  • Topic Model Approach to Authority Identification
    ...of [[AddressesProblem::Authority_Identification|identifying authoritative documents]] in a given domain using textual content and report their best performing Authoritative documents are ones which exhibit novel and relevant information relative to a documen
    6 KB (961 words) - 08:16, 4 October 2012
  • Project dong, 10-802 spring 2010
    * Diversify search results (return documents written in different perspectives about topics of interest) * Personalize search results (return documents in viewpoint of user)
    3 KB (397 words) - 17:01, 1 February 2011
  • Latent semantic indexing
    ...s of the <math>m</math> unique terms within a collection of <math>n</math> documents. In a term-document matrix, each term is represented by a row, and each do ...scribes the relative frequency of the term within the entire collection of documents.
    5 KB (774 words) - 00:36, 1 December 2010
  • Comparison: A Latent Variable Model for Geographic Lexical Variation and A probabilistic approach to spatiotemporal theme pattern mining on weblogs
    .... Mei et al. aim at finding subtopics in different time and locations from documents that have the same topics. ..., the data set they used are very different. Jacob et al. use twitter type documents, which are very short. Q. Mei use Weblogs, which are relative long.
    3 KB (516 words) - 11:12, 6 November 2012
  • Document representation and query expansion models for blog recommendation
    ...ral ways: (1) the unit of output (the blog) is composed of a collection of documents (the blog posts) rather than a single document, (2) the query represents an ...tain lot of noise in the form of reader comments, spams unlike traditional documents
    9 KB (1,328 words) - 03:49, 6 November 2012
  • What VS What? Detect Controversial Topics in Online Community
    ...iven series of Documents d and the number of comments associated with that Documents, note as <math>N(d)</math> ...ment. Specifically given a topic <math>t_{i}</math>, we hope to find those documents that hold a positive sentiment to this topic, define as <math>D_{t_{i}+}</m
    4 KB (744 words) - 01:48, 16 October 2012
  • Das Sarma et. al., Dynamic Relationship and Event Discovery, WSDM 2011
    ...es are co-bursting if they appear close together in a large number of news documents in the given time period. ...nts in which both entities appear divided by the product of the numbers of documents each entity appears in (i.e. the [[UsesMethod::Pointwise mutual information
    11 KB (1,678 words) - 22:58, 2 November 2011
  • Chang and Blei, AOAS2010
    For Network data, such as social networks of friends, citation networks of documents or hyperlinked networks of web pages, people want to point social network m 2. For each pair of documents <math>d</math>,<math>d'</math>:
    3 KB (442 words) - 15:40, 31 March 2011
  • Nallapati Cohen Link PLSA LDA
    ...ents. Unlike in Link-LDA and Link-PLSA, which only use citations of other documents with respect to topic k in determining the influence of document d', their
    3 KB (521 words) - 14:43, 2 October 2012
  • Mann 2005 Multi-Field Information Extraction and Cross-Document Fusion
    ...troduces and evaluates methods for fusing the extracted information across documents to return a consensus answer. It could be applied together with cross-docum ...proach to combine the attribute values extracted for one person across the documents. Two alternatives are considered, one is to pick the most probable value, t
    3 KB (514 words) - 01:09, 1 December 2010
  • Compare Yano et al NAACL 2009 Link PLSA LDA
    The biggest difference is that this models the text of the cited documents as well. It is worth noting that the same priors <math>\Omega</math> and <m ...f links off of the words expressed in the original document and the linked documents (either comment on a blog post, or linked blog) can help in this task.
    5 KB (895 words) - 22:20, 1 December 2012
  • Chambers and Jurafsky, Unsupervised Learning of Narrative Event Chains, ACL 2008
    ...The purpose of this paper is to learn such "scripts" from a collection of documents automatically. The experiment is conducted on documents from the [[UsesDataset::Gigaword corpus]]. The temporal classifier is train
    8 KB (1,180 words) - 01:38, 29 November 2011
  • BinLu et al. ACL2011
    ...Current translation algorithms can barely give meaningful translation for documents, and parallel corpus on document level is also rare. * Paper:Text classification from labeled and unlabeled documents using EM.:[http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&c
    5 KB (716 words) - 22:30, 26 September 2012
  • Connections between the Lines: Augmenting Social Networks with Text
    ...enes, proteins, and diseases that have been manually labelled as entities. Documents are individual abstracts, and co-occurrences of entities in an abstract cre
    4 KB (606 words) - 10:25, 27 September 2012
  • Class Meeting for 10-710 12-01-2011
    ....com/papers/emcat-mlj99.pdf Text Classification from Labeled and Unlabeled Documents using EM], K. Nigam, A. McCallum, S. Thrun, and T. Mitchell, ML 2000
    2 KB (255 words) - 15:20, 1 December 2011
  • Bollen 2011 vs Mishne 2006
    ...sis, which is to assign a sentiment to each document. In this problem, the documents in the corpora are gathered and the mood is determined over each aggregate ...odels to see how well they predict a given mood for a given time series of documents. It could be said that perhaps Bollen provides a better summary overview an
    4 KB (607 words) - 03:17, 6 November 2012
  • Leskovec et al KDD 09
    ...llion documents per day, amounting to over 90 million articles as a whole. Documents come form both major news websites, as well as blogs, and the total size of
    4 KB (623 words) - 14:08, 1 October 2012
  • Daly et al Social Lense: Personalization Around User Defined Collections for Filtering Enterprise Message Streams ICWSM 2011
    ...ne similarity]] of the [[UsesMethod::vector space models|TF-IDF weighted]] documents representing the people. ...very specific and information-rich environment, where links between users, documents, and communities are explicit and there are no concerns about identifying t
    4 KB (633 words) - 01:13, 2 October 2012
  • E. Minkov et al.
    ...iple document repetition (MDR): mark repeated tokens appearing in multiple documents as a name.
    1 KB (216 words) - 16:52, 8 October 2010
  • Buza et al Scalable Event-based Clustering of Social Media via Record Linkage Techniques ICWSM 2011
    ...a sliding window of size <math>n</math> on a temporally ordered set of the documents to generate candidate pairs. ...er is also very useful. However, while the paper mentions that some of the documents are missing fields, there is no exact statistics. Also, there is no discuss
    4 KB (632 words) - 05:03, 4 October 2012
  • Borkar, SIGMOD 2001
    ...earners which makes them reach their maximum accuracy with small number of documents.
    2 KB (246 words) - 13:13, 22 September 2010
  • Andreevskaia et al., ICWSM 2007
    ...significant difference in classifying sentiment for the two genres of blog documents, but the ternary task is more difficult than the binary task. ** Work dealing with extracting sentiment from web documents where valence shifting terms are taken into account.
    4 KB (540 words) - 11:30, 3 October 2012
  • Blei et al Latent Dirichlet Allocation
    ...otably the topic node is sampled repeatedly within a document. This allows documents to be associated with multiple topics rather than just one. ...rical Bayes method for parameter estimation is provided. Given a corpus of documents D, we wish to find parameters <math>\alpha</math> and <math>\beta</math> t
    6 KB (962 words) - 20:57, 3 October 2012
  • Topics over Time
    ...rts of the document are discussing different time periods. However, common documents typically have only one time stamp per document. Therefore, an alternative ...(1) first fitting a time-unaware topic model on data and then ordering the documents in time, or (2) divides data into discrete time slices and fits a separate
    5 KB (738 words) - 00:08, 28 November 2011
  • E.A. Leicht, Structure of Time Evo citation networks 2007
    Suppose there are '''''n''''' vertices representing documents in a network, it can be divided into '''''c''''' groups. Then a log-likelih ...n the Scientific Literature: A New Measure of the Relationship Between Two Documents. mall, Henry. s.l.]] [http://onlinelibrary.wiley.com/doi/10.1002/asi.463024
    4 KB (674 words) - 01:59, 7 February 2011
  • Class meeting for 10-605 Rocchio and Hadoop Workflows
    * The TFIDF representation for documents.
    3 KB (350 words) - 16:16, 14 October 2015
  • Singh et al., ACL 2011
    ...e Singh was a Google intern - we're talking about ''really'' large sets of documents).
    4 KB (706 words) - 00:51, 30 November 2011
  • Weld et al SIGMOD 2009
    ...ages using heuristics. First a heuristic document classifier will classify documents into classes, then sentence classifier ([[UsesMethod::Maximum Entropy model
    2 KB (294 words) - 12:45, 29 September 2011
  • Borkar et al, SIGMOD 2001
    ...earners which makes them reach their maximum accuracy with small number of documents.
    2 KB (295 words) - 14:09, 22 October 2010
  • E. Minkov et al. HLT/EMNLP 2005
    ...iple document repetition (MDR): mark repeated tokens appearing in multiple documents as a name.
    2 KB (276 words) - 15:48, 23 October 2010
  • Haghighi and Klein, ACL 2006: Prototype-Driven Learning for Sequence Models
    ...like conventional semi-supervised learning where a portion of the training documents are fully labeled, in prototype-driven learning, a list of "prototype words
    5 KB (694 words) - 16:00, 18 September 2011
  • Attribute Extraction
    ...te and relative ordering of where the attribute values typically appear in documents.
    2 KB (299 words) - 20:29, 30 November 2010
  • Maximization of the benefit function known as "modularity"
    network to be a sign of connection between documents,
    3 KB (414 words) - 02:04, 7 February 2011
  • Class meeting for 10-605 Workflows For Hadoop
    * The TFIDF representation for documents.
    3 KB (434 words) - 12:37, 19 September 2017
  • J. Artiles et al. EMNLP 2009
    a classification problem such that each pair of documents will be classified as coreferent
    2 KB (344 words) - 05:47, 23 November 2010
  • Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506.
    ...with about 1 million documents per day. In total it consist of 90 million documents (blog posts and news articles) from 1.65 million different sites obtained t
    6 KB (923 words) - 18:21, 22 April 2011
  • Turney, 2002
    ...ting polarity prediction as a document-classification problem; classifying documents based on likely-to-be-informative phrases; and using unsupervised or semi-s
    2 KB (317 words) - 12:47, 27 October 2010
  • Cohen et al IJCAI 2005
    ...ting polarity prediction as a document-classification problem; classifying documents based on likely-to-be-informative phrases; and using unsupervised or semi-s
    2 KB (317 words) - 16:39, 29 September 2010
  • Borkar et al SIGMOD 2001
    ...ting polarity prediction as a document-classification problem; classifying documents based on likely-to-be-informative phrases; and using unsupervised or semi-s
    2 KB (317 words) - 16:39, 29 September 2010
  • Adar, E. et al, WSDM 2009
    ...languages and they are updated very fast, which means not all the parallel documents are likely to be well updated. The system uses additive [[UsesMethod::Logis Given a set of parallel, multilingual documents and a document to be modified, a set of potential infobox classes is guesse
    5 KB (787 words) - 13:14, 30 September 2011
  • Jansche and Abney ACL 2002
    ...ting polarity prediction as a document-classification problem; classifying documents based on likely-to-be-informative phrases; and using unsupervised or semi-s
    2 KB (323 words) - 19:51, 29 September 2010
  • Class Meeting for 10-802 02/24/2011
    * Efron, M. 2004. Cultural orientation: Classifying subjective documents by cociation analysis. In AAAI Fall Symposium on Style and Meaning in Langu
    2 KB (326 words) - 22:21, 31 March 2011

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