Results 21 to 30 of about 3,367,205 (268)
Research Directions, Challenges and Issues in Opinion Mining [PDF]
Rapid growth of Internet and availability of user reviews on the web for any product has provided a need for an effective system to analyze the web reviews.
Lu, Joan +2 more
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Microblog Text Emotion Classification Algorithm Based on TCN-BiGRU and Dual Attention
Microblog is an important platform for mining public opinion, and it is of great value to conduct emotional analysis of microblog texts during the current epidemic.
Yao Qin, Yiping Shi, Xinze Hao, Jin Liu
doaj +1 more source
Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier
At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions and ideas about events, services, and products.
Fatima Es-Sabery +5 more
doaj +1 more source
Comparative Analysis of the Failure Rates of Shearer and Plow Systems—A Case Study
Mechanised plow and shearer systems are widely applied in underground mines all over the world. Both systems are used in the exploitation of hard coal deposited in the form of seams of various thickness.
Łukasz Bołoz +2 more
doaj +1 more source
Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics.
Nasrin Elhassan +9 more
doaj +1 more source
Semisupervised Learning Based Opinion Summarization and Classification for Online Product Reviews
The growth of E-commerce has led to the invention of several websites that market and sell products as well as allow users to post reviews. It is typical for an online buyer to refer to these reviews before making a buying decision.
Mita K. Dalal, Mukesh A. Zaveri
doaj +1 more source
Comparing Machine Learning Classifiers for Movie WOM Opinion Mining
Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of ...
Yoosin Kim +2 more
openaire +1 more source
Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective.
Atika Qazi +5 more
doaj +1 more source
Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion [PDF]
Sarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection.
Si Kaihao
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A Hybrid Approach of Opinion Mining and Comparative Linguistic Analysis of Restaurant Reviews
The existing research on sentiment analysis mainly utilized data curated in limited geographical regions and demography (e.g., USA, UK, China) due to commercial interest and availability of review data. Since the user’s attitudes and preferences can be affected by numerous sociocultural factors and demographic characteristics, it is necessary to have ...
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