For Text Mining and Analytics, we have two good courses one on coursera and other on on eDX.

Text mining is the first step in data mining of unstructured data. As we stated above, we define the tidy text format as being a table with one-token-per-row. ... We care about your data privacy. Despite the ubiquity of textual data, so far few researchers have applied text mining to answer organizational research questions. ... Mining twitter with R. 09 November 2015. In this paper, we will explore the potential of R packages to analyze unstructured text. Understand about word cloud, clustering, and making analysis based on context, Use of Negative and positive words banks for relational analysis Text Mining: Word Relationships. Unsupervised learning refers to data science approaches that involve learning without a prior knowledge about the classification of sample data. ... International Journal of Advanced Research in Computer and Communication Engineering, 1(4). Advanced Plots with ggplot. tm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R.. Mastering Text Mining with R [Ashish Kumar, Avinash Paul] on Amazon.com. *FREE* shipping on qualifying offers. Machine learning makes sentiment analysis more convenient. CONTRIBUTED RESEARCH ARTICLES 188 RcmdrPlugin.temis, a Graphical Integrated Text Mining Solution in R by Milan Bouchet-Valat and Gilles Bastin Abstract We present the package RcmdrPlugin.temis, a graphical user interface for user-friendly text mining in R. Built as a plug-in to the R Commander provided by the Rcmdr package, it brings together several existing packages and … This can be useful in giving context of particular text along with understanding the general sentiment. This post would introduce how to do sentiment analysis with machine learning using R. In the landscape of R, the sentiment R package and the more general text mining package have been well developed by Timothy P. Jurka. Google compares its vast collection of webpages against your search terms, providing you with pages that mention your given terms most frequently and significantly. Welcome to Text Mining with R This is the website for Text Mining with R! Let me put it this way when we are doing a text analysis / mining/ natural language processing or any other kind of task where we deal with words, a basic thing would be looking at distinct words there counts for sure. A collection of other standard R packages add value to the data processing and visualizations for text mining. As part of this course you will be introduced to the various stages of text mining. So we can get started with 'R' for basic data mining and text mining jobs with any further ado.Stemming:I will start with example. Statistics Advanced Analytics Data & Text Mining Predictive Analytics Oracle In-Database Advanced Analytics Comprehensive Advanced Analytics Platform Oracle R Enterprise • Popular open source statistical programming language & environment Database • Integrated with database for scalability • Originally based on Leland Wilkinson’s The Grammar of Graphics, ggplot2 allows you to create customized graphs tailored to your problem by building the plots with layers. The tm package offers functionality for managing text documents, abstracts the process of document manipulation and eases the usage of heterogeneous text formats in R.