dc.contributor.author | Shashank Singh, 21SCSE1430015 | |
dc.contributor.author | Vaibhav Singh, 21SCSE1430024 | |
dc.contributor.author | Satyam Anand, 21SCSE1430027 | |
dc.date.accessioned | 2024-09-17T07:21:56Z | |
dc.date.available | 2024-09-17T07:21:56Z | |
dc.date.issued | 2024-04 | |
dc.identifier.uri | http://10.10.11.6/handle/1/18038 | |
dc.description | SCHOOL OF COMPUTER APPLICATION AND TECHNOLOGY
GALGOTIAS UNIVERSITY, GREATER NOIDA | en_US |
dc.description.abstract | Nowadays, the world is becoming more digital and customers are relying on online products
which helps them to simplify their living. Therefore, the reviews provided on a product
becomes an important aspect to attract and maintain customers and build a novel strategy to
acquire higher position in the market. The purpose of this study is to investigate the different
processes and techniques used in gathering requirements, designing, implementing and testing
the reviews provided on a particular product to gain insights on customer experiences. It can
be attained by using sentiment analysis and opinion mining which is defined is the
computational study of people’s opinions, sentiments, attitudes, and emotions expressed in
written language. It is one of the most active research areas in natural language processing and
text mining in recent years.. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Galgotias University | en_US |
dc.subject | Sentiment Analysis | en_US |
dc.subject | E-commerce Reviews | en_US |
dc.title | Sentiment Analysis and Opinion Mining on E-commerce Reviews | en_US |
dc.type | Technical Report | en_US |