Devottam G.

Detection of False Positive Situation in Review Mining: To focus on developing a predictive model that detects False Positive Reviews from original reviews and ratings are [login to view URL],NB,DT. Features: SelectKBest(), Entropy. Machine Intelligence Based Algorithm for Spam Filtering on Document Labeling: To develop a predictive model that classifies the mail into ham/spam. Classifiers: NB,DT,RF. Features:SelectKBest(), IG, SFS, SBS. A novel method for evaluating user’s credibility based on domains in Twitter: To obtain the domain of the textual content generated by users of OSN platforms. Classifiers: NB,DT,RF. Features:TF-IDF. Employment Agreement: To build a model that classifies the two document types – whether it is employment letter or amendment letter. Classifiers: NB, DT, RF. Features: TF-IDF, SelectKBest(), IG, SFS, SBS, Gini Index. To predict the success of a movie: Classifiers: NB, DT, RF Features: TF-IDF, SelectKBest(),IG, SFS, SBS, Entropy.