| Autor: |
M. Arun Manicka Raja, S. Swamynathan, S. Godfrey Winster |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
2012 International Conference on Recent Advances in Computing and Software Systems. |
| DOI: |
10.1109/racss.2012.6212682 |
| Popis: |
E-transactions have become prominent and highly convenient due to the widespread usage of the internet. The number of consumer reviews on various products is increasing day-by-day. These vast number of reviews are beneficial to manufacturers and consumers alike. It is a challenging task for a potential consumer to read all reviews to make a better purchase decision. It is beneficial to mine available consumer reviews for popular products from various consumer product review sites. The first step to do this is to decide the polarity of a review by performing sentiment analysis. We can then classify the review based on the polarity. This paper presents a comparison of a sentiment analyzer with other existing classifiers. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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