Prediction of Social Trends using Twitter
S. Babu1, Kushagra Singh Bisen2, Himanshu Chaubey3
1Dr. S. Babu*, Department of Computer Science and Engineering, SRM-IST, Kattankulathur, Kancheepuram, India.
2Kushagra Singh Bisen, Department of Computer Science and Engineering, SRM-IST, Kattankulathur, India)
3Himanshu Chaubey, Department of Computer Science and Engineering, SRM-IST, Kattankulathur, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 01, 2020. | Manuscript published on April 10, 2020. | PP: 1726-1729 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4626049620/2020©BEIESP | DOI: 10.35940/ijitee.F4626.049620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this study project, we deal with the application of sentimental analysis on a dataset consisting of tweets. We implement a number of machine learning and deep learning frameworks to perform the analysis. In the end, we use a majority based method to show 4 of our best models for the dataset to achieve the best result.
Keywords: Tweets, Sentimental Analysis, Data Preprocessing, Machine Learning, Deep Learning, Feature Extraction.
Scope of the Article: Machine Learning