Project title

Affect In Tweets using Deep Learning Techniques Symmetric Image Encryption Technique for IoT Applications using Cellular Automata1

Submitted to:

  • Mr. Rohit Kumar Kaliyar
  • Mrs. Nisha Ahuja

Submitted By:

  1. Kushal Ram
  2. Akansha Sharma
  3. Albin P Jose

Project Description

Twitter is an online microblogging tool that has 400 million messages per day. SemEval-2018 Tasks have already been presented and explored in the previous years by the name of “Affect in Tweets” but the scope for improvement never ends. So, in this research paper, we come up with deep learning architecture which is extremely coherent for the given task of extracting emotion intensity and classes from tweets (description of the task is given on

Project Poster

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