Bøger af Dipankar Das

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 in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored. 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.

I will clutch for the nature, Here, my heart spoke for the divine, And pray . . . That each soul seeks to be grown, one for everyone!

Poetic thoughts are perceptions of mind of the poet who takes up the feeling, live to it and the world around him finds a whole host of reasons to be in awe for the good.This piece of creative work was devoted to my father, Sri. Purnesh Ranjan Das who was a source of immense strength to me and who showed that every step in the purpose of life was a challenge, to breathe it beautifully and to discover the world around us in the best of the way...