twitter_mining | Twitter Mining in Java | Predictive Analytics library

twitter_mining is a Java library typically used in Analytics, Predictive Analytics applications. twitter_mining has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

this project is a ml/nlp library in java for analyzing tweets and building predictive models. the predictive models are built to help election/ad/marketing campaigns dig into social media conversations (public opinions) in order to get insights for making intelligent decisions. the project consists of four main packages and a resource directory: algorithms package contains implementations of a few ml/nlp algorithms for running text analysis on tweets contents. twitter package is designed to wrap twitter data regradless of the persistent layer that one uses to store/retrieve tweets. runanalysis package is the interface for running ml/nlp algorithms. utilities package is developed to provide a collection of helper classes for different analysis. resources directory includes a few data sources used for tweets analysis such as stop words, training data for sentiment analysis and so on. . packages details: algorithms package: lda algorithm: an implentation of latent dirichlet allocation algorithm used for topic modeling. naivebayes classifier: a customized version of naive bayes classifier for running sentiment analysis on tweets. textanalysis: a class for performing various text analysis such as computing word frequencies. tweetsstatistics: provides functionalities for computing basic statistics from tweets. . twitter package: tweet: a representative class for