Sentiment Analysis

Mastering Elementary Trading Strategies and Sentiment Analysis for Financial Success

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)
Recent ideas on Sentiment Analysis and Ontology Engineering
Presents applications of Computational Intelligence to Sentiment Analysis
Written by experts in the fascinating field of ontology engineering and sentiment analysis

Sentiment Analysis

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance. Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existing methods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.

Perform Sentiment Analysis on Twitter data by combining Text Mining and NLP techniques, NLTK and Scikit-Learn

You Will Learn to Invest With News Analysis in Cryptocurrencies.