OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY

With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user’s opinions, vie...

Full description

Bibliographic Details
Published in:	ICTACT Journal on Soft Computing
Main Authors:	S. ChandraKala, C. Sindhu
Format:	Article
Language:	English
Published:	ICT Academy of Tamil Nadu 2012-10-01
Subjects:	Sentiment Analysis Opinion Mining Information Extraction
Online Access:	http://ictactjournals.in/paper/IJSC_Vol3_Iss1_Paper4_420_427.pdf

Similar Items

Opinion Mining on Viet Thanh Nguyen’s The Sympathizer Using Topic Modelling and Sentiment Analysis
by: Sea Yun Ying, et al.
Published: (2022-02-01)

Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning
by: Zhongnan Zhao, et al.
Published: (2023-10-01)

Opinion mining and socializing networks
by: Carina Ionela BRANZILA
Published: (2023-10-01)

A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
by: Yuncong Li, et al.
Published: (2023-07-01)

A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media
by: Georgios Alexandridis, et al.
Published: (2021-08-01)

Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
by: Mohd Suhairi Md Suhaimin, et al.
Published: (2023-10-01)

Mining
by: Khairullah Khan, et al.
Published: (2014-09-01)

Independent component support vector regressive deep learning for sentiment classification
by: Muddada Murali Krishna, et al.
Published: (2023-04-01)

Multi-Attribute Online Decision-Making Driven by Opinion Mining
by: Azra Shamim, et al.
Published: (2021-04-01)

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis
by: Łukasz Augustyniak, et al.
Published: (2015-12-01)

Improving sentiment analysis in Arabic: A combined approach
by: Belgacem Brahimi, et al.
Published: (2021-12-01)

Arabic Language Opinion Mining Based on Long Short-Term Memory (LSTM)
by: Arief Setyanto, et al.
Published: (2022-04-01)

Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts
by: Ricardo Hernández-Pérez, et al.
Published: (2024-11-01)

A Model to Classify Book Buyers’ Sentiments Using Ensemble Approach
by: Fatemeh Abbasi, et al.
Published: (2017-09-01)

Opinion Mining and Perceptions of Self-Determination in Videoconference Classrooms Using Machine Learning and Multidimensional Sentiment Frameworks
by: Bosede Iyiade Edwards
Published: (2025-04-01)

Prediction of Opinion Keywords and Their Sentiment Strength Score Using Latent Space Learning Methods
by: Esteban García-Cuesta, et al.
Published: (2020-06-01)

PyFin-sentiment: Towards a machine-learning-based model for deriving sentiment from financial tweets
by: Moritz Wilksch, et al.
Published: (2023-04-01)

Opinion Mining and Analysis Using Hybrid Deep Neural Networks
by: Adel Hidri, et al.
Published: (2025-04-01)

Sentiment prediction based on analysis of customers assessments in food serving businesses
by: Zoltan Geler, et al.
Published: (2021-07-01)

Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy
by: Lara Tavoschi, et al.
Published: (2020-05-01)

A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
by: Dalal Alqusair, et al.
Published: (2025-01-01)

Aspect based sentiment analysis datasets for Bangla textMendeley Data
by: Mahmudul Hasan, et al.
Published: (2024-12-01)

Sentiment Analysis at the Product Feature Level and Based on Users Gender
by: Shahriar Mohammadi, et al.
Published: (2021-09-01)

ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM
by: CRISTIAN BUCUR
Published: (2015-06-01)

Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach
by: Gatis Špats, et al.
Published: (2016-07-01)

Audit quality and sentiment biases in going-concern opinions
by: Carlos André Marinho Vieira, et al.
Published: (2024-11-01)

Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language
by: Farid Ariai, et al.
Published: (2024-01-01)

Introducing Sentiment Analysis of Textual Reviews in a Multi-Criteria Decision Aid System
by: Mohammed Jabreel, et al.
Published: (2020-12-01)

Parameter Reputation Model for Cloud Service Recommendation and Ranking Using Opinion Mining
by: Kousalya Govardhanan, et al.
Published: (2024-01-01)

Studying the effect of characteristic vector alteration on Arabic sentiment classification
by: Ibtissam Touahri, et al.
Published: (2021-09-01)

Opinion Mining Using Multi-Dimensional Analysis
by: Satarupa Biswas, et al.
Published: (2023-01-01)

Sentiment Analysis using Support Vector Machine and Random Forest
by: Talha Ahmed Khan, et al.
Published: (2024-02-01)

Understanding Emojis for Sentiment Analysis
by: Byungkyu Yoo, et al.
Published: (2021-04-01)

Investor Sentiment and Auditor's Going Concern Opinion: Examining the Accuracy of the Auditor's Opinion and Market Reaction to It
by: Manizheh Ramsheh, et al.
Published: (2024-03-01)

MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the Internet
by: Xing Liu, et al.
Published: (2023-06-01)

Toward Machine Learning Based Binary Sentiment Classification of Movie Reviews for Resource Restraint Language (RRL)—Hindi
by: Ankita Sharma, et al.
Published: (2023-01-01)

Towards a Framework on Sentiment Analysis of Educational Domain for Improving the Teaching and Learning Services
by: Harnani Mat Zin, et al.
Published: (2017-11-01)

Oil Sector and Sentiment Analysis—A Review
by: Marcus Vinicius Santos, et al.
Published: (2023-06-01)

Aspect-based sentiment classification model employing whale-optimized adaptive neural network
by: Nallathambi Balaganesh, et al.
Published: (2021-05-01)

A comparative performance evaluation of neural network based approach for sentiment classification of online reviews
by: G. Vinodhini, et al.
Published: (2016-01-01)