Detecting Cyber Bullying on Twitter using Support Vector Machine

LAMBDA: Lexicon and Aspect-Based Multimodal Data Analysis of Tweet

“…In order to improve sentiment classification accuracy and strength detection, Mudinas et al [13] presented a hybrid sentiment analysis system that merged lexicon-based and learning-based approaches. Dedeepya et al [14] presented a two-part, lexicon-based approach to entity-level sentiment analysis for Twitter feeds; the first portion identifies opinionated tweets and assigns polarities to classify things; the second part improves recall by using these given polarities.…”

“…(13). P2-Tokenize T2 P3-Remove stop words from T2 P4-Perform POS tagging on T2 P5-Apply stemming and lemmatization to T2 (14). P= Process the features of {P2, P3, P4, P5} (15).…”

“…(13). T2= Extract text from F. (14). P2-Tokenize T2 P3-Remove stop words from T2 P4-Perform POS tagging on T2 P5-Apply stemming and lemmatization to T2 (15).…”