Sentiment-Analysis (Emotion Detection)

This Project has two parts:

Sentiment analysis of YouTube videos as well as Live speech was accomplished. The aim was to predict emotion out of a spectrum of 5 emotions. In this project we implemented Ensemble method of Vector Space Model (VSM)(Implemented from a research paper) and LSTM. Also, we designed Web-App to fulfill the aim of building an end to end application.

Here the prominent emotions are Anger and Disgust which reflects the nature of video.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
images		images
models		models
EmoVec		EmoVec
EmoVec.pkl		EmoVec.pkl
LICENSE		LICENSE
README.md		README.md
Realtime Emotion Mining (ENSEMBLE).ipynb		Realtime Emotion Mining (ENSEMBLE).ipynb
Realtime Emotion Mining (VSM).ipynb		Realtime Emotion Mining (VSM).ipynb
SUI-Unified.py		SUI-Unified.py
SUI-YT-Ensemble.py		SUI-YT-Ensemble.py
SUI.py		SUI.py
Sentiment LSTM.ipynb		Sentiment LSTM.ipynb
Sentiment VSM.ipynb		Sentiment VSM.ipynb
packages.txt		packages.txt
requirements.txt		requirements.txt
sentiment-vsm-ensemble.py		sentiment-vsm-ensemble.py
sentiment-vsm.py		sentiment-vsm.py
start-vsm-ensemble.sh		start-vsm-ensemble.sh
start-vsm.sh		start-vsm.sh
vectorizer		vectorizer
vectorizer.pkl		vectorizer.pkl