chenyangh/SentimentAnalysis

Folders and files

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
data		data
feature		feature
model		model
others		others
.gitmodules		.gitmodules
README.md		README.md
bag_of_words.py		bag_of_words.py
base_lines.py		base_lines.py
data_helper.py		data_helper.py
load_data.py		load_data.py
measurement.py		measurement.py
normal_word_vectors.py		normal_word_vectors.py
predict.py		predict.py
some_preprocessing.py		some_preprocessing.py
stats_analysis.py		stats_analysis.py
text_cnn_rnn.py		text_cnn_rnn.py
train.py		train.py
train_word2vec.py		train_word2vec.py
training_config.json		training_config.json

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Sentiment Analysis

Dataset

Amazon review dataset
Yelp Dataset Challenge At this stage we are testing different models on digital music category of Amazon review dataset.

Baseline

Features

Bag of Words
word2vec

Classifiers

Random Forest
SVM
TF/TF-IDF + Naïve bayes

References

Kaggle's tutorial on text classification gave us a solid start on this project.

About

This project aims at learning sentiment features from user reviews

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chenyangh/SentimentAnalysis

Folders and files

Latest commit

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Repository files navigation

Sentiment Analysis

Dataset

Baseline

Features

Classifiers

References

About

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Folders and files

Latest commit

History

Repository files navigation

Sentiment Analysis

Dataset

Baseline

Features

Classifiers

References

About

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Contributors

Uh oh!

Languages

Packages