Results 201 to 210 of about 5,415 (239)
Some of the next articles are maybe not open access.
Temporal Analysis of Comparative Opinion Mining
2016Social media have become a popular platform for people to share their opinions and emotions. Analyzing opinions that are posted on the web is very important since they influence future decisions of organizations and people. Comparative opinion mining is a subfield of opinion mining that deals with identifying and extracting information that is ...
Kasturi Dewi Varathan +2 more
openaire +1 more source
Opinion mining approaches on Amazon product reviews: A comparative study
2017 International Conference on Information and Communication Technologies (ICICT), 2017The 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 +3 more
openaire +1 more source
Comparing Different Methods for Opinion Mining in Newspaper Articles
2012Adapting opinion mining for news articles is a challenging field and at the same time it is very interesting for many analyses, applications and systems in the field of media monitoring. In this paper, we illustrate specifics in this area in comparison with sentiment analysis of product reviews.
Thomas Scholz +2 more
openaire +1 more source
A comparative study on opinion mining algorithms of social media statuses
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), 2017The Social Media (SM) is affecting clients' preferences by modeling their thoughts, attitudes, opinions, views and public mood. Observing the SM activities is a decent approach to measure clients' loyalty, keeping a track on their opinion towards products preferences or social event.
Donia Gamal +3 more
openaire +1 more source
Comparative analysis of ensemble classifiers for sentiment analysis and opinion mining
2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall), 2017Ensemble classifiers are showing a promising way to solve various classification and predictive problems. Improving the performance of ensemble classifiers becomes easier than improving the performance of a single classifier. For performance improvement, the comparative analysis of variously available ensemble classifiers is required for better ...
Sanjeev Kumar, Ravendra Singh
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), 2018Aspect-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 +3 more
openaire +1 more source
Tourism Management, 2019
Abstract Online tourism reviews provide a crucial source of information for the tourism industry, and determining whether they can be effectively identified is key to influencing tourism decision-making. The purpose of this paper is to identify themes and compare differences in online travel reviews.
Zhiping Hou +4 more
openaire +1 more source
Abstract Online tourism reviews provide a crucial source of information for the tourism industry, and determining whether they can be effectively identified is key to influencing tourism decision-making. The purpose of this paper is to identify themes and compare differences in online travel reviews.
Zhiping Hou +4 more
openaire +1 more source
2019
Comparative opinion mining has received considerable attention from both individuals and business companies for analyzing public feedback about the competing products. The user reviews about the different products posted on social media sites, provide an opportunity to opinion mining researchers to develop applications capable of performing comparative
Aurangzeb Khan +6 more
openaire +1 more source
Comparative opinion mining has received considerable attention from both individuals and business companies for analyzing public feedback about the competing products. The user reviews about the different products posted on social media sites, provide an opportunity to opinion mining researchers to develop applications capable of performing comparative
Aurangzeb Khan +6 more
openaire +1 more source
Comparative Analysis of Link-based and Content-based Methods for Opinion Mining in Persian language
2018Twitter 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
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, Sanjay Kumar Jain
openaire +1 more source
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, Sanjay Kumar Jain
openaire +1 more source