Computational intelligence applications for text and sentiment data analysis /
Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved...
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| Format: | eBook |
| Language: | English |
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New York :
Academic Press,
2023.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Sentiment analysis and computational intelligence / Dipankar Das [and others]
- Natural language processing and sentiment analysis: perspectives from computational intelligence / Soumitra Ghosh [and others]
- Applications and challenges of SA in real-life scenarios / Diptesh Kanojia, Aditya Joshi
- Emotions of students from online and offline texts / Rishi Dey [and others]
- Online social-network sensing models / Subhayan Bhattacharya [and others]
- Learning sentiment analysis with word embeddings / Mounika Marreddy, Radhika Mamidi
- An annotation system of a medical corpus using sentiment-based models for summarization applications / Anupam Mondal [and others]
- A comparative study of a novel approach with baseline attributes leading to sentiment analysis of Covid-19 tweets / Arunava Kumar Chakraborty, Sourav Das
- Sentiment-aware design of human-computer interactions: How research in human-computer interaction and sentiment analysis can lead to more user-centered systems? / Souvick Ghosh
- Towards the analyzing of social-media data to assess the impact of long lockdowns on human psychology due to the Covid-19 pandemic / A. Chatterje [and others]
- Conclusion.