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Word2Vec for Effective Sentiment Analysis by Vasavi Desu is a document available to read on EtoBox.
What is Word2Vec for Effective Sentiment Analysis about?
The document presents a study on sentiment analysis using deep learning techniques, specifically Word2Vec and GloVe embedding methods, to analyze data from social media platforms. The authors developed 36 different deep learning models, including MLP, CNN, LSTM, and GRU architectures, and found that the Word2Vec embedded Bi-directional GRU model achieved the highest F1-score of 0.84. The research aims to enhance sentiment analysis methodologies and contribute to the development of expert sentiment analyzers
- Author
- Vasavi Desu
- Language
- EN