Computational Intelligence Applications for Text and Sentiment Data Analysis
Häftad, Engelska, 2023
Av Dipankar Das, Anup Kumar Kolya, Abhishek Basu, Soham Sarkar, Government of India) Das, Dipankar (Assistant Professor, Computer Science and Engineering Department, Jadavpur University, and Visveswaraya Young Faculty, Ministry of Electronics and Information Technology (MeitY), India) Kolya, Anup Kumar (Assistant Professor, RCC Institute of Information Technology, Kolkata, India) Basu, Abhishek (Assistant Professor and Faculty in Charge (Academics), RCC Institute of Information Technology, Kolkata, India) Sarkar, Soham (Assistant Professor, Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata
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Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
- Introduces recent computational intelligence approaches to text data processing and modeling
- Surveys the most recent developments and challenges of multimodal data processing and sentiment analysis
- Presents case studies which implement different algorithms to identify sentiment polarity and domain dependency
Produktinformation
- Utgivningsdatum2023-07-20
- Mått152 x 229 x 27 mm
- Vikt450 g
- SpråkEngelska
- SerieHybrid Computational Intelligence for Pattern Analysis and Understanding
- Antal sidor270
- FörlagElsevier Science
- EAN9780323905350