Data Mining Approach of Text Classification and Clustering of Twitter Data for Business Analytics
P. Meghanasree, Sri Krishna · International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2019
The increasing popularity of micro-blogging sites like Twitter, which facilitates users to exchange short messages (tweets) is an impetus for data analytics tasks for business development. Twitter has a huge amount of data. Twitter’s API allows you to do complex queries like pulling every tweet about a certain topic. So, Companies can know more about consumers’ sentiments towards their products and services and use them to better understand the market and improve their brand. In this paper selected a popular food brand to evaluate a given stream of customer comments on Twitter. Several metrics in classification and clustering of data were used for analysis. A Twitter API is used to collect twitter corpus and feed it to a classifier algorithm that will discover the polarity lexicon of English tweets, whether positive or negative. A clustering technique is used to group together similar words in tweets in order to discover certain business value.