Análise de sentimentos em publicações do Stackoverflow

Abstract

The use of social networks, forums and various media has been growing exponentially, reflecting directly on the amount of data generated on the Internet, a large portion of the data generated, are open and can be accessed and processed. As a result, the possibilities generated by open data have attracted many researchers and companies to extract valuable information about their customers. Information extracted from this mass of data can change the strategy of many companies and people. In computer forums, you can see the same pattern, multiple people interacting and generating various information about information technology and its derivatives. The research will go through the whole cycle of sentiment analysis, data capture on the StackOverflow platform, data processing,natural language processing, algorithm training and classification. In order to show the data processing and classification steps, compare the classification approaches and extract information about the analyzed database. After applying the sentiment analysis cycle, it was possible to compare the results of each classifier and extract information about the analyzed database, about the performance of the unstructured classifiers and the difficulty of working with the language Portuguese database.