Algorithm for Emotion Prediction using Twitter Dataset
K. Arulmozhi1, R. Ponnusamy2
1K. Arulmozhi, Research Scholar in Computer Science, Mother Teresa Women’s University, Kodaikanal, Tamilnadu, India.
2Dr. R. Ponnusamy, Professor, Department of Computer Science and Engineering, CVR College of Engineering, Ibrahimpatan, Hyderabad, Telangana, India.

Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7243-7246 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5277118419/2019©BEIESP | DOI: 10.35940/ijrte.D5277.118419

Open Access | Ethics and Policies | Cite  | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: In today’s internet world almost each and everyone uses Smartphone and they are all also active in various social media. In general social media contains a huge amount of data that can be extracted and utilized to find various data insights including polarity emotion etc… This research paper mainly investigates in emotion predection using a machine learning approach . Here a novel algorithm was introduced to predict the emotion of tweets . The algorithm mainly deals with emotion Prediction by utilizing various parameters like unigram , bigram , edge weight matrix , frequency matrix and so on . Finally , the result was predicted with the emotions of the tweets . While testing with various search terms this algorithm performs well in Predicting the emotion like anger, happiness and so on .
Keywords: Machine Learning, Emotion Prediction, Tweets Extraction.
Scope of the Article: Machine Learning.