GitHub - stefanrmmr/kaggle_twitter_airline_sentiment: Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr

Tweet Text Sentiment Analysis using LSTMs and custom trained Word Embeddigns

Capstone Project for TUM "Python for Engineering Data Analysis - from Machine Learning to Visualization" (September 2021)

DATASET & SOURCES [Kaggle] Twitter US Airline Sentiment

FULL PROJECT REPORT [PDF] View Report.

Name		Name	Last commit message	Last commit date
Latest commit History 72 Commits
.idea		.idea
__pycache__		__pycache__
analysis_plots		analysis_plots
model_data_final		model_data_final
model_data_keras_embedding		model_data_keras_embedding
tweets_data		tweets_data
twitter_acc		twitter_acc
LSTM_model.py		LSTM_model.py
ProjectReport_TwitterLSTM_BruengerRummer_2021.pdf		ProjectReport_TwitterLSTM_BruengerRummer_2021.pdf
README.md		README.md
custom_word2vec.py		custom_word2vec.py
embedding_analysis.py		embedding_analysis.py
fundamental_data_analysis.py		fundamental_data_analysis.py
plotting_framework.py		plotting_framework.py
preprocessing.py		preprocessing.py
tweet_sentiment_lstm_keras.py		tweet_sentiment_lstm_keras.py
uc_average_twitter_sentiment.py		uc_average_twitter_sentiment.py