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

Mapping Intimacies ◽

10.1007/978-981-16-4284-5_18 ◽

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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Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features

Sustainable Cities and Society ◽

10.1016/j.scs.2019.101615 ◽

2019 ◽

Vol 50 ◽

pp. 101615 ◽

Cited By ~ 6

Author(s):

Kitsuchart Pasupa ◽

Thititorn Seneewong Na Ayutthaya

Keyword(s):

Deep Learning ◽

Comparative Study ◽

Sentiment Analysis ◽

Word Embedding ◽

Learning Techniques

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A Comparative Study on Sentiment Analysis Approaches and Methods

2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) ◽

10.1109/smart50582.2020.9337106 ◽

2020 ◽

Author(s):

Gaurav Kumar Rajput ◽

Ashok Kumar ◽

Shakti Kundu

Keyword(s):

Comparative Study ◽

Sentiment Analysis

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Comparative Study of Machine Learning Algorithms for Twitter Sentiment Analysis

2021 International Conference on Emerging Smart Computing and Informatics (ESCI) ◽

10.1109/esci50559.2021.9396925 ◽

2021 ◽

Author(s):

Yash Indulkar ◽

Abhijit Patil

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Sentiment Analysis ◽

Learning Algorithms ◽

Machine Learning Algorithms

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Sentiment analysis with deep neural networks: comparative study and performance assessment

Artificial Intelligence Review ◽

10.1007/s10462-020-09845-2 ◽

2020 ◽

Vol 53 (8) ◽

pp. 6155-6195

Author(s):

Ramesh Wadawadagi ◽

Veerappa Pagi

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Performance Assessment ◽

Sentiment Analysis ◽

Deep Neural Networks ◽

And Performance

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A comparative study of genetic algorithm in sentiment analysis

2018 2nd International Conference on Inventive Systems and Control (ICISC) ◽

10.1109/icisc.2018.8399051 ◽

2018 ◽

Cited By ~ 2

Author(s):

Rahul Katarya ◽

Ashima Yadav

Keyword(s):

Genetic Algorithm ◽

Comparative Study ◽

Sentiment Analysis

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PWEBSA: Twitter sentiment analysis by combining Plutchik wheel of emotion and word embedding

International Journal of Information Technology ◽

10.1007/s41870-021-00767-y ◽

2022 ◽

Author(s):

Pravin Kumar ◽

Manu Vardhan

Keyword(s):

Sentiment Analysis ◽

Word Embedding

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Sentiment Analysis Using AI: A Comparative Study Comparative Study of 5 Different Algorithms and Benchmarking Them with A Qualitative Analysis of Training time, Prediction time, and Accuracy

2021 International Symposium on Electrical, Electronics and Information Engineering ◽

10.1145/3459104.3459165 ◽

2021 ◽

Author(s):

Jeet Biswas ◽

Markus Haid ◽

Ishak Boyaci ◽

Indrashis Nath ◽

Bharat Hegde ◽

...

Keyword(s):

Comparative Study ◽

Qualitative Analysis ◽

Sentiment Analysis ◽

Training Time ◽

Time Prediction ◽

Prediction Time

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A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning

ACM Computing Surveys ◽

10.1145/2932708 ◽

2016 ◽

Vol 49 (1) ◽

pp. 1-26 ◽

Cited By ~ 24

Author(s):

Nadia Felix F. Da Silva ◽

Luiz F. S. Coletta ◽

Eduardo R. Hruschka

Keyword(s):

Comparative Study ◽

Sentiment Analysis ◽

Supervised Learning

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Exploring Word Embedding for Bangla Sentiment Analysis

2018 International Conference on Bangla Speech and Language Processing (ICBSLP) ◽

10.1109/icbslp.2018.8554443 ◽

2018 ◽

Cited By ~ 3

Author(s):

Sakhawat Hosain Sumit ◽

Md. Zakir Hossan ◽

Tareq Al Muntasir ◽

Tanvir Sourov

Keyword(s):

Sentiment Analysis ◽

Word Embedding

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Comparative Study of Topic Modeling and Word Embedding Approaches for Web Service Clustering

10.1145/3474124.3474169 ◽

2021 ◽

Author(s):

Neha Agarwal ◽

Geeta Sikka ◽

Lalit Kumar Awasthi

Keyword(s):

Comparative Study ◽

Web Service ◽

Topic Modeling ◽

Word Embedding ◽

Service Clustering

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