Improved tweets in English text classification by LSTM neural network
- Title
- Improved tweets in English text classification by LSTM neural network
- Creator
- Yashasvi B.N.; Samson Lsaac J.; Raghavendra S.; Tiwari M.; Ananthi K.
- Description
- This paper analyzes the performance of an LSTM-type neural network in the sentiment analysis task in tweets in English about the COVID-19 pandemic. Primarily, the organization and cleaning a database of tweets about the COVID-19 pandemic is performed. From the original database, two other databases through different discretizations of the polarities of the tweets using Heaviside-type functions are created. Vectorization of tweets using the Word2Vec word embedding technique is carried out. Computational implementations of LSTM neural networks to the context of our research problem are adapted. Analyzes and discussions on the feasibility of the proposed solution taking into account different types of hyperparametric adjustments in the neural network models is carried out. Publicly available databases organized through the Mendeley Data public data repository are used. 2023 IEEE.
- Source
- 2023 1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- English tweets; LSTM; Mendeley Data; Neural network; Word2Vec
- Coverage
- Yashasvi B.N., R N S Institute of Technology, Bangalore, India; Samson Lsaac J., Karunya Lnstitute of Technology and Sciences, Department of Biomedical Engineering, Tamilnadu, Coimbatore, India; Raghavendra S., Christ Deemed to Be University, Department of Computer Science Engineering, Benguluru, India; Tiwari M., Bharati Vidyapeeth's College of Engineering, Department of Computer Science and Engineering, Delhi, India; Ananthi K., Sri Eshwar College of Engineering, Department of Computer Science and Business Systems, Tamilnadu, Kinathukadavu, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835034279-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Yashasvi B.N.; Samson Lsaac J.; Raghavendra S.; Tiwari M.; Ananthi K., “Improved tweets in English text classification by LSTM neural network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19759.