Design and implementation of aspect Based Sentiment Analysis of Hotel Reviews

Autor: H.S Lakmisagar, M. S Sumathi
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT).
DOI: 10.1109/rteict52294.2021.9573897
Popis: Over the past 2 years, in India, a significant rise in the number of people having access to the internet has been observed. Owing to its extensive fame, there is a huge quantity of user reviews or thoughts produced and shared every day. In this project hotel and product reviews will be collected, pre-processed, scrutinized and visualized using open-source tools to achieve text mining and sentiment analysis for examining user contributed online reviews. Collecting customer opinions manually using conventional methods such as surveys can be expensive, cumbersome and time consuming and a lot of constraints will come into picture. Which is why it is used text mining from online websites. The sentiment analysis of customer opinions will assist industries in appreciating their competitive worth in a changing market and understanding their clients' opinions about their products and services, which will also provide a vision into future promotion strategies and real-time decision making policies.
Databáze: OpenAIRE