| Autor: |
Harvinder, Shipra Madan, Devpriya Soni |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783319137308 |
| Popis: |
With the growing usage of internet and popularity of opinion-rich resources like online reviews, people are actively using information technology to know and form their opinion. These reviews give vital information about a product and can impinge on its demand in cyber space. In this paper we have presented a hybrid technique combining TF-IDF method with opinion analysis using multinomial Naive Bayes Classification algorithm to mine data of online reviews of books thereby improving the review results. TF-IDF method uses weighted technique to compute the weight of a word in a document and opinion analysis gives the polarity about a particular product. We amalgamate both techniques to improvise the efficiency of the results which may consequently be used by recommender systems for better recommendations. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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