Characteristics of Sponsored Product Reviews and Consumer Reactions: Focusing on Sentiment Analysis Using Text-mining

2021 ◽  
Vol 8 (3) ◽  
pp. 71-82
Author(s):  
Sang Yun Seo
Keyword(s):  
Text Mining ◽  
Sentiment Analysis ◽  
Product Reviews ◽  
Consumer Reactions

Sentiment Analysis of Product Reviews

2011 ◽  
pp. 1794-1799 ◽  
Author(s):  
Cane W.K. Leung
Keyword(s):  
Text Mining ◽  
Sentiment Analysis ◽  
Computational Linguistics ◽  
Text Classification ◽  
Positive Opinion ◽  
The Internet ◽  
Product Reviews ◽  
Evaluative Terms

Sentiment analysis is a kind of text classification that classifies texts based on the sentimental orientation (SO) of opinions they contain. Sentiment analysis of product reviews has recently become very popular in text mining and computational linguistics research. The following example provides an overall idea of the challenge. The sentences below are extracted from a movie review on the Internet Movie Database: “It is quite boring...... the acting is brilliant, especially Massimo Troisi.” In the example, the author stated that “it” (the movie) is quite boring but the acting is brilliant. Understanding such sentiments involves several tasks. Firstly, evaluative terms expressing opinions must be extracted from the review. Secondly, the SO, or the polarity, of the opinions must be determined. For instance, “boring” and “brilliant” respectively carry a negative and a positive opinion. Thirdly, the opinion strength, or the intensity, of an opinion should also be determined. For instance, both “brilliant” and “good” indicate positive opinions, but “brilliant” obviously implies a stronger preference. Finally, the review is classified with respect to sentiment classes, such as Positive and Negative, based on the SO of the opinions it contains.

scholarly journals Research on Prediction of Different Categories of Video based on YOUTUBE Using Text Mining and Sentiment Analysis

2021 ◽  
Vol 13 ◽  
pp. 176-179
Author(s):  
Lin Gan
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Quality Evaluation ◽  
Media Content ◽  
Product Reviews ◽  
Current Events ◽  
Media Research ◽  
Social Media Research ◽  
Analysis Quality

With the development of online commentary research, scholars have tried to tap into the deeper value of online commentary from the analysis of sentiment analysis, quality evaluation, false comment recognition to the usefulness of comments. Previous studies have focused on online product reviews while news reviews. Social media research has been relatively rare. social media and news commentary contain readers' opinions and evaluations on current events, and reflect the trend of public opinion. The purpose of this paper is to investigate and analyze the intrinsic link between social media content of different type and the number of commentaries, and sentiment analysis.

scholarly journals RoBERTa-IAN for aspect-level sentiment analysis of product reviews

2021 ◽  
Vol 1827 (1) ◽  
pp. 012079
Author(s):  
Jingrui Dai ◽  
Fang Pan ◽  
Zhaoyu Shou ◽  
Huibing Zhang
Keyword(s):  
Sentiment Analysis ◽  
Product Reviews

Chinese cultural theme parks: text mining and sentiment analysis

2021 ◽  
pp. 1-21
Author(s):  
Tingting Zhang ◽  
Bin Li ◽  
Nan Hua
Keyword(s):  
Text Mining ◽  
Sentiment Analysis ◽  
Theme Parks

Sentiment analysis of online product reviews using Lexical Semantic Corpus-Based technique

2021 ◽  
Author(s):  
Raihah Aminuddin ◽  
Aina Zuliana Zulkefli ◽  
Nor Aiza Moketar ◽  
Khyrina Airin Fariza Abu Samah
Keyword(s):  
Sentiment Analysis ◽  
Product Reviews ◽  
Lexical Semantic ◽  
Online Product Reviews

Sentiment Analysis of Kaspi Product Reviews

2021 ◽  
Author(s):  
Yerassyl Kelsingazin ◽  
Iskander Akhmetov ◽  
Alexander Pak
Keyword(s):  
Sentiment Analysis ◽  
Product Reviews
Sign in / Sign up

Export Citation Format

Share Document