Computational Intelligence in Data Science: Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 2022, 2020, Revised Sele [Paperback]

This book constitutes the refereed post-conference proceedings of the Third IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2020, held in Chennai, India, in February 2020.

The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 94 submissions. The papers are organized in the following topical sections: computational intelligence for text analysis; computational intelligence for image and video analysis; and data science.

Computational Intelligence for Text Analysis.- Emotion Recognition in Sentences- A Recurrent Neural Network Approach.- Context Aware Contrastive Opinion Summarization.- Tamil Paraphrase Detection Using Encoder-Decoder Neural Networks.- Trustworthy User Recommendation using Boosted Vector Similarity Measure.- Sensitive Keyword Extraction based on Cyber Keywords and LDA in Twitter to Avoid Regrets.- Sentiment Analysis of Bengali Tweets Using Deep Learning.- Social media Veracity Detection System using Calibrate Classifier.- A Thesaurus based Semantic Relation Extraction for Agricultural Corpora.- Irony Detection in Bengali Tweets: A New Dataset, Experimentation and Results.- Computational Intelligence for Image and Video Analysis.- Bat algorithm with CNN parameter tuning for lung nodule false positive reduction.- A Secure Blind Watermarking Scheme using Wavelets, Arnold Transform and QR decomposition.- Role of Distance Measures in Approximate String Matching Algorithms forFace Recognition System S.- Detection Of Human Faces In Video Sequences Using Mean of GLBP Signatures.- Malware Family Classification Model Using User Defined Features and Representation Learning.- Fabric Defect Detection Using YOLOv2 and YOLOv3 Tiny.- Automatic questionnaire and interactive session generation from videos.- Effective Emotion Recognition from Partially Occluded Facial Images Using Deep Learning.- Driveable Area Detection Usl£"