Sentence validation using Semantic Orientations on Articles of Social Media

Abstract

Recently, Social media is an important tool for career planning.In this university, social media literacy and the usage for career planning are to educated students. However, the teachers necessary to spend a lot of time for the extraction of improper articles. In this research, we proposed a method that extracts improper articles from social data by the Semantic Orientations of sentences. Proposed method estimate the semantic orientation of sentence based on the semantic orientation of words and TF-IDF values. For investigation, the estimated value of our proposed method was compared with human estimated values.