twitter_opinion_mining

Algorithm for inferring tweets opinion from hashtag co-occurence network.

See Bovet, A., Morone, F. & Makse, H. A. Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump. Sci. Rep. 8, 8673 (2018). http://www.nature.com/articles/s41598-018-26951-y for details.

By using this code you agree with the following points:

The code is provided without any warranty or conditions of any kind. We assume no responsibility for errors or omissions in the results and interpretations following from applications of the code.
You commit to cite our paper (above) in publications where you use this code.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
.gitignore		.gitignore
HTCoocNetwork.py		HTCoocNetwork.py
LICENSE		LICENSE
README.md		README.md
TwClassifier.py		TwClassifier.py
TwSentiment.py		TwSentiment.py
TwSqliteDB.py		TwSqliteDB.py
Tweet.py		Tweet.py
Twitter_opinion_mining_example_run.ipynb		Twitter_opinion_mining_example_run.ipynb
addStatSigniHT.py		addStatSigniHT.py
analyzeProbaDF.py		analyzeProbaDF.py
baseModule.py		baseModule.py
buildDatabase.py		buildDatabase.py
buildTrainingSet.py		buildTrainingSet.py
classifyTweets.py		classifyTweets.py
crossValOptimize.py		crossValOptimize.py
main.py		main.py
makeHTnetwork.py		makeHTnetwork.py
makeProbaDF.py		makeProbaDF.py
propagateLabels.py		propagateLabels.py
selectHashtags.py		selectHashtags.py
selectInitialHashtags.py		selectInitialHashtags.py
trainClassifier.py		trainClassifier.py
updateHTGroups.py		updateHTGroups.py

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makselab/twitter_opinion_mining

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