Graphical-Sentiment-Analysis

Architecture:

$$x_i = \underset{j \epsilon N(i) \cup {i}}{\overline{X}} \dfrac{1}{\sqrt{deg(i)}\sqrt{deg(j)}} \tanh(A,x_j + B e_{ji}) + Bias$$

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
DependencyParsing		DependencyParsing
EDA		EDA
MessagePassing		MessagePassing
checkpoints		checkpoints
models		models
src		src
Dockerfile		Dockerfile
README.md		README.md
Test.csv		Test.csv
Train.csv		Train.csv
Twitter_Data.csv		Twitter_Data.csv
Valid.csv		Valid.csv
ft-training.py		ft-training.py
requirement.txt		requirement.txt
res-enc.bin		res-enc.bin
training.py		training.py