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Found 4 papers, 2 papers with code
Semantic flow in language networks
In this study we propose a framework to characterize documents based on their semantic flow.
Word sense induction using word embeddings and community detection in complex networks
In this paper, we devise a method that leverages recent findings in word embeddings research to generate context embeddings, which are embeddings containing information about the semantical context of a word.
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
The first space is a bag-of-words model and has a Linear SVM as base classifier.
Authorship Attribution Based on Life-Like Network Automata
Remarkably, we have found a dependence of pre-processing steps (such as the lemmatization) on the obtained results, a feature that has mostly been disregarded in related works.
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