Tools for fast text stemming & lemmatization
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Updated
Jun 7, 2018 - R
Tools for fast text stemming & lemmatization
Explore your Twitter activity with R: Sentiment Analysis and Data Visualization. How to analyze your Twitter account (or any account), discover your habits and sentiments with the "rtweet" package and NLP.
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).
It's a package that contains a function that uses lemmatization to classify educational programs according to CINE (Classification International Normalized of Education) for Peru.
This project is to perform some tasks that are commonly used in Natural Language Processing. This includes design of the shiny app to analyze the Toyota Camry car reviews. The reviews are available online and it will be programmatically downloaded and their sentiment score will be predicted.
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