Abstract
The gaining popularity and availability of ecommerce websites led many users to express their views and opinions on various products or services that are available online. Due to the extensive presence of data which is increasing everyday over the internet, it shows that the reviews or opinions provided by the users on the ecommerce sites are very large and in unstructured form. Therefore, it is highly challenging for the online users, customers and manufacturers to take appropriate decision about the opinions on these reviews. Hence there is a need to analyze the opinions present in the reviews to know if the review stated is positive or negative. Opinion Mining aims at analyzing the user opinions in the text. This work mainly aims at binary classification of reviews using different ML techniques thereby identifying the best model suitable for classifying the online restaurant reviews.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728157900 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 1st IEEE International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021 - Bhilai, India Duration: 19-02-2021 → 20-02-2021 |
Publication series
| Name | Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021 |
|---|
Conference
| Conference | 1st IEEE International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021 |
|---|---|
| Country/Territory | India |
| City | Bhilai |
| Period | 19-02-21 → 20-02-21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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