Twitter Sentiment Analysis Using LSTM-Dense-Dropout Hybrid Deep Learning Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6547-2_48
Reference22 articles.
1. Dagar M, Kajal A, Bhatia P (2021) Twitter sentiment analysis using supervised machine learning techniques. In: 2021 5th international conference on Information Systems and Computer Networks (ICISCN)
2. Minab S, Jalali M, Moattar M (2015) A new sentiment classification method based on hybrid classification in Twitter. In: 2015 international congress on technology, communication and knowledge (ICTCK)
3. Venkatesh, Hegde SU, Zaiba AS, Nagaraju Y (2021) Hybrid CNN-LSTM model with GloVe word vector for sentiment analysis on football specific tweets. In: 2021 international conference on advances in electrical, computing, communication and sustainable technologies (ICAECT)
4. Alassaf M, Qamar A (2020) Aspect-based sentiment analysis of Arabic tweets in the education sector using a hybrid feature selection method. In: 2020 14th international conference on innovations in information technology (IIT)
5. Goularas D, Kamis S (2019) Evaluation of deep learning techniques in sentiment analysis from twitter data. In: 2019 international conference on deep learning and machine learning in emerging applications (Deep-ML)
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