| 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 |