Difference between revisions of "Comparative Study : Sentiment Analysis using Automated pattern based appraoch VS Single structured model"
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== Additional Questions == | == Additional Questions == | ||
# How much time did you spend reading the (new, non-wikified) paper you summarized? | # How much time did you spend reading the (new, non-wikified) paper you summarized? | ||
| + | #* 2.5 hours | ||
# How much time did you spend reading the old wikified paper? | # How much time did you spend reading the old wikified paper? | ||
| + | #* 1 hour | ||
# How much time did you spend reading the summary of the old paper? | # How much time did you spend reading the summary of the old paper? | ||
| + | #* 15 minutes | ||
# How much time did you spend reading background materiel? | # How much time did you spend reading background materiel? | ||
| + | #* None | ||
# Was there a study plan for the old paper? | # Was there a study plan for the old paper? | ||
| − | ## if so, did you read any of the items suggested by | + | #* Yes |
| − | + | ## if so, did you read any of the items suggested by the study plan? and how much time did you spend with reading them? | |
| + | ##* Yes, I glanced over 2/3 papers to understand the key concepts. It was a good starting point. | ||
| + | ##* 45 minutes | ||
# Give us any additional feedback you might have about this assignment. | # Give us any additional feedback you might have about this assignment. | ||
| + | ## The wikified paper's summary was quite useful to start with as it helped in understanding the big picture immediately and noting down the key areas to look for in the paper. | ||
| + | ##*For example the binary classification was not immediately clear from summary, evaluation with human judges was a new thing i encountered when i read the paper. I had additional doubt on overlapping hashtags and labels that was explained in paper. | ||
| + | ## Some additional key features that I was curious to know after reading summmary : KNN distance function, Neighbor selection criteria, Feature selection process. | ||
| + | ## I think its very useful to have a paper summary and its unavoidable to ignore too much details in summary. | ||
Revision as of 04:10, 6 November 2012
Papers Compared
- Enhanced sentiment learning using Twitter hashtags and smileys
- Structured Models for Fine-to-Coarse Sentiment Analysis
Comparison
Additional Questions
- How much time did you spend reading the (new, non-wikified) paper you summarized?
- 2.5 hours
- How much time did you spend reading the old wikified paper?
- 1 hour
- How much time did you spend reading the summary of the old paper?
- 15 minutes
- How much time did you spend reading background materiel?
- None
- Was there a study plan for the old paper?
- Yes
- if so, did you read any of the items suggested by the study plan? and how much time did you spend with reading them?
- Yes, I glanced over 2/3 papers to understand the key concepts. It was a good starting point.
- 45 minutes
- Give us any additional feedback you might have about this assignment.
- The wikified paper's summary was quite useful to start with as it helped in understanding the big picture immediately and noting down the key areas to look for in the paper.
- For example the binary classification was not immediately clear from summary, evaluation with human judges was a new thing i encountered when i read the paper. I had additional doubt on overlapping hashtags and labels that was explained in paper.
- Some additional key features that I was curious to know after reading summmary : KNN distance function, Neighbor selection criteria, Feature selection process.
- I think its very useful to have a paper summary and its unavoidable to ignore too much details in summary.
- The wikified paper's summary was quite useful to start with as it helped in understanding the big picture immediately and noting down the key areas to look for in the paper.
