Sentiment Analysis Approach Based on Combination of Word Embedding Techniques

2020 ◽  
pp. 805-813
Author(s):  
Ibrahim Kaibi ◽  
El Habib Nfaoui ◽  
Hassan Satori
Keyword(s):  
Sentiment Analysis ◽  
Word Embedding ◽  
Analysis Approach

scholarly journals User-Generated Tweets about Global Green Brands: A Sentiment Analysis Approach

2018 ◽  
Vol 30 (2) ◽  
pp. 125-145
Author(s):  
Saba Resnik ◽  
Mateja Kos Koklič
Keyword(s):  
Sentiment Analysis ◽  
Analysis Approach

Exploring Word Embedding for Bangla Sentiment Analysis

2018 ◽  
Author(s):  
Sakhawat Hosain Sumit ◽  
Md. Zakir Hossan ◽  
Tareq Al Muntasir ◽  
Tanvir Sourov
Keyword(s):  
Sentiment Analysis ◽  
Word Embedding

scholarly journals A hybrid sentiment analysis approach using black widow optimization based feature selection

2021 ◽  
Author(s):  
Anand Joseph Daniel ◽  
◽  
M Janaki Meena ◽  
Keyword(s):  
Feature Selection ◽  
Sentiment Analysis ◽  
Performance Metrics ◽  
Computation Time ◽  
Online Reviews ◽  
Reduction Technique ◽  
Feature Reduction ◽  
Analysis Approach ◽  
Black Widow ◽  
Feature Selection Technique

With the massive development of Internet technologies and e-commerce technology, people rely on the product reviews provided by users through web. Sentiment analysis of online reviews has become a mainstream way for businesses on e-commerce platforms to satisfy the customers. This paper proposes a novel hybrid framework with Black Widow Optimization (BWO) based feature reduction technique which combines the merits of both machine learning and lexicon-based approaches to attain better scalability and accuracy. The scalability problem arises due to noisy, irrelevant and unique features present in the extracted features from proposed approach, which can be eliminated by adopting an effective feature reduction technique. In our proposed BWO approach, without changing the accuracy (90%), the feature-set size is reduced up to 43%. The proposed feature selection technique outperforms other commonly used Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) based feature selection techniques with reduced computation time of 21 sec. Moreover, our sentiment analysis approach is analyzed using performance metrics such as precision, recall, F-measure, and computation time. Many organizations can use these online reviews to make well-informed decisions towards the users’ interests and preferences to enhance customer satisfaction, product quality and to find the aspects to improve the products, thereby to generate more profits.

scholarly journals A Proposed Lexicon-Based Sentiment Analysis Approach for the Vernacular Algerian Arabic

2016 ◽  
Vol 110 (1) ◽  
pp. 55-70 ◽  
Author(s):  
M’hamed Mataoui ◽  
Omar Zelmati ◽  
Madiha Boumechache
Keyword(s):  
Sentiment Analysis ◽  
Analysis Approach

Public Perceptions on Climate Change: A Sentiment Analysis Approach

2021 ◽  
Vol 21 (4) ◽  
pp. 209-233
Author(s):  
Tasha Erina Taufek ◽  
Nor Fariza Mohd Nor ◽  
Azhar Jaludin ◽  
Sabrina Tiun ◽  
Lam Kuok Choy
Keyword(s):  
Climate Change ◽  
Sentiment Analysis ◽  
Public Perceptions ◽  
Analysis Approach

A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN

2021 ◽  
pp. 199-211
Author(s):  
Bachchu Paul ◽  
Sanchita Guchhait ◽  
Tanushree Dey ◽  
Debashri Das Adhikary ◽  
Somnath Bera
Keyword(s):  
Comparative Study ◽  
Sentiment Analysis ◽  
Word Embedding
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