SENTIMENT ANALYSIS OF TEXT AND EMOJI DATA FOR TWITTER NETWORK
Journal Title: Al-Bahir Journal for Engineering and Pure Sciences - Year 2023, Vol 3, Issue 1
Abstract
Twitter is a social media platform where users can post, read, and interact with 'tweets'. Third party like corporate organization can take advantage of this huge information by collecting data about their customers' opinions. The use of emoticons on social media and the emotions expressed through them are the subjects of this research paper. The purpose of this paper is to present a model for analyzing emotional responses to real-life Twitter data. The proposed model is based on supervised machine learning algorithms and data on has been collected through crawler “TWEEPY” for empirical analysis. Collected data is pre-processed, pruned and fed into various supervised models. Each tweet is assigned to sentiment based on the user's emotions, positive, negative, or neutral.
Authors and Affiliations
Paramita Dey, Soumya Dey
Keywords
Related Articles
- EP ID EP744509
- DOI -
- Views 9
- Downloads 1
A Meta-Ensemble Predictive Model For The Risk Of Lung Cancer
Novel Derivative For Dithiocarbamite Containing A New Sulphur-Azo Linkage And Its Complexes With Sn(II), Sn(IV), Co(II), Ni(II) And Cu(II) Ions; Synthesis, Characterization and Antibacterial Activity
Green synthesis of Nickel Oxide Nanoparticles using Syzygium Aromatic Extract: Characterization and Biological Applications
An Insight into the Physicochemical, Drug-likeness, Pharmacokinetics and Toxicity Profile of Kigelia africana (Lam) Bioactive Compounds
Study of Fusion Reactions of some Light projectiles on Medium Targets