GitHub / Agoons20 / Text_Mining_in_R

The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights. Concepts such as feature representation using bag of words and TF-IDF are demonstrated, clustering and supervised machine learning algorithms like regression and others are used on a DTM

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Topics: bag-of-words, plotly-dash, sentiment-analysis, supervised-machine-learning, tf-idf, unsupervised-machine-learning

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