Results 241 to 250 of about 3,367,205 (268)

Opinion mining approaches on Amazon product reviews: A comparative study

2017 International Conference on Information and Communication Technologies (ICICT), 2017
The process of extracting of people's opinion, experience and emotions from reviews, blogs and other sources is known as opinion mining. This paper compares our lexicon dictionary based approach with n-grams with three famous Machine Leaning (ML) algorithms, which are random forest learner with word vector, decision tree learner with document vector ...
Afshan Ejaz, Zakia Turabee, Maria Rahim, Shakeel Khoja   +3 more
openaire   +1 more source

Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining

2018 IEEE International Conference on Big Data (Big Data), 2018
Aspect-level opinion mining aims to find and aggregate opinions on opinion targets. Previous work has demonstrated that precise modeling of opinion targets within the surrounding context can improve performances. However, how to effectively and efficiently learn hidden word semantics and better represent targets and the context still needs to be ...
Wei Quan, Zheng Chen 0010, Jianliang Gao, Xiaohua Tony Hu   +3 more
openaire   +1 more source

A Comparative Assessment of Deep Learning Approaches for Opinion Mining

2022
Nidhi N. Solanki, Dipti B. Shah
openaire   +1 more source

Comparative Analysis of Link-based and Content-based Methods for Opinion Mining in Persian language

2018
Twitter has provided a convenient platform to express feelings and opinions in different areas. Opinion mining in Twitter can be considered as studying the overall sentiment of a tweet. There are two general categories of sentiment analysis methods in the Persian language, linked-base methods and, content-based methods.
Allahkaram, Niloofar, Yari, Alireza
openaire   +1 more source

An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites

2015
Opinion why-questions require answers to include reasons, elaborations, explanations for the users’ sentiments expressed in the questions. Sentiment analysis has been recently used for answering why type opinion questions.Existing research addresses simple why-type questions having description of single product in the questions.
Amit Mishra 0003, Sanjay Kumar Jain
openaire   +2 more sources

Political Optimizer with Probabilistic Neural Network-Based Arabic Comparative Opinion Mining

Intelligent Automation & Soft Computing, 2023
Najm Alotaibi, Badriyya B. Al-onazi, Mohamed K. Nour, Abdullah Mohamed, Abdelwahed Motwakel, Gouse Pasha Mohammed, Ishfaq Yaseen, Mohammed Rizwanullah   +7 more
openaire   +1 more source

Advancements and Comparative Analysis of Opinion Mining Techniques: A Review of Methods and Algorithms

2023 International Conference on Advanced Computing Technologies and Applications (ICACTA), 2023
Aryan Balpande, Sneha Panditpautra, Rohini Nair   +2 more
openaire   +1 more source

Sentiment Classification of User Reviews Using Supervised Learning Techniques with Comparative Opinion Mining Perspective

Advances in Intelligent Systems and Computing, 2020
Nida Aslam, Muhammad Zubair Asghar
exaly  

Opinion Mining for Software Development: A Systematic Literature Review

ACM Transactions on Software Engineering and Methodology, 2022
Bin Lin, Alexander Serebrenik, Gabriele Bavota   +2 more
exaly  

Comparative Study on Sentiments of New Energy Vehicle Owners Based on Opinion Mining

2022
Deke Li, Hong Chen
openaire   +1 more source