Extraction and Classification of Semantic Data from Twitter
Clarissa Castellã Xavier, Marlo Souza · 2018
Twitter is a social network and microblogging service in which registered users read and post messages called Tweets. Tweets have a maximum of 280 characters and cover every conceivable subject, from simple activity updates and news coverage to opinions about arbitrary topics. In this way, Twitter emerges as a valuable data source to get information about what people think and feel about the most different subjects. In this context, this work presents different approaches for extracting and processing information from Twitter using Natural Language Processing (NLP) and Machine Learning techniques, examining tools and methods to collect and analyze semantic information from Tweets.