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Text Mining and NLP using R and Python

Data Science Text Mining and NLP using R and Python
Course from Udemy
 1570 students enrolled
 en
Perform text mining applications using structured & unstructured data;
Understand about document term matrix, term frequency, term frequency inverse document, term frequency for normalizing
Differentiate between size of word which indicates the frequency of the said word in a word cloud, clustering based on related use for better insights and how to read the results in context to make sense of the word
Understand from a practical case study the various steps of text mining in R and the use of Positive and negative word banks
Learn Web and Social media extraction using R, Risk sensing - sentiment analysis, Twitter application management for extracting tweets
Understand the clustering concept, that is an integral part of text mining

During this course you will be introduced to one of the most important and fast catching up data mining concept. The need for making sense of unstructured data and the knowledge of the various tools is of paramount importance.

  1. Text mining is the first step in data mining of unstructured data.

  2. As part of this course you will be introduced to the various stages of text mining

  3. Understand about word cloud, clustering, and making analysis based on context,

  4. Use of Negative and positive words banks for relational analysis

  5. Work with a live example of extraction of data from Web and perform all the facets of text mining using R and Python

  6. Learn Web and Social media extraction using R, Risk sensing - sentiment analysis, Twitter application management for extracting tweets

Text Mining and NLP using R and Python
$ 49.99
per course
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