Text Mining in R. Stopwords Creation.KWIC.Similarity analysis.Distance analysis.Phrase matching.
In this video I explain and show how to perform tex mining. I show how to import your documents in pdf or in word. I show how to create corpus. I how to create undesirable stopwords. I show how to clean your documents before any analysis. I show how to remove : punctuations, numbers, stopwords, url, ect. I show how to calculate documents similarity with cosine and jaccard approaches, document distance, etc. I also show how to find most frequent features in the whole and individual document term matrix. I how to find keywords in context and I show how to find phrase matching in context.Similarity analysis is useful in referencing and recommendations.Distance analysis is useful in textmining. Similarity and distance calculation are used in textming.Textmining consists of analysis text to get useful information.Based on similarity and distance calculation,similar documents are grouped together. Keywords are useful in finding similarity and calculating distance in text mining.Phase matching in textmining allows to identify how phrase was used in text mining.Stopword must be removed in textmining as they do not add any value in textmining. Text mining or known as text analysis, consists in transforming unstructured text in structured text for very esasy analysis. Text mining uses natural language processing (NLP), leting machines to understand the human language and process it automatically.
keywords: textmining, stopwords, document similarity, keywords in context, phrase matching.
#drantoineniyungeko
#textmining
#documents
Link for script and documents.
https://mega.nz/folder/YqB0ybpB#n0-II...
There is a script for creating dictionnaries in french
