| Autor: |
Iswarya M, S Ramya, V. Baby Shalini, Anu Keerthika M S |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
ICCCNT |
| DOI: |
10.1109/icccnt51525.2021.9579641 |
| Popis: |
Today digital reviews plays a vital part in influencing the customer. E-commerce companies provide a platform for consumers to share their thoughts and comments, thus it provides an insight about the performance of the product to the company as well as to buyers. In order to make it as useful one classifications of review is needed. Opinion mining is also known as sentiment analysis which in general is a process of extracting subjective information from the data collected. Machine learning provides the better insights by automatically analyzing the product review and separating them into classes and labels. Opinion mining is an artificial intelligence tool and its research is very useful for determining the sentiment of comments. A feed forward neural network classifier is used to determine the sentiment tendency of the comment. The proposed revamp of sentiment analysis approach is compared to RNN and CNN approaches. The result is displayed in the form of chart which has higher precision. Thus this technique is helpful on comments analysis. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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