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Unsupervised Learning and Text Mining of Emotion Terms Using R

May 18, 2017
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Unsupervised Learning and Text Mining of Emotion Terms Using R

Unsupervised learning refers to data science approaches that involve learning without a prior knowledge about the classification of sample data. In Wikipedia, unsupervised learning has been described as “the task of inferring a function to describe hidden structure from ‘unlabeled’ data (a classification of categorization is not included in the observations)”. The overarching objectives of Related PostUsing MCA and...

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Parsing Text for Emotion Terms: Analysis & Visualization Using R

May 11, 2017
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Parsing Text for Emotion Terms: Analysis & Visualization Using R

Recently, I read a post regarding a sentiment analysis of Mr Warren Buffett’s annual shareholder letters in the past 40 years written by Michael Toth. In this post, only five of the annual shareholder letters showed negative net sentiment scores, whereas a majority of the letters (88%) displayed a positive net sentiment score. Toth noted Related PostUsing MongoDB with...

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Using MCA and variable clustering in R for insights in customer attrition

April 21, 2017
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Using MCA and variable clustering in R for insights in customer attrition

Analytical challenges in multivariate data analysis and predictive modeling include identifying redundant and irrelevant variables. A recommended analytics approach is to first address the redundancy; which can be achieved by identifying groups of variables that are as correlated as possible among themselves and as uncorrelated as possible with other variable groups in the same data Related PostWeb Scraping and...

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Web Scraping and Applied Clustering Global Happiness and Social Progress Index

April 9, 2017
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Web Scraping and Applied Clustering Global Happiness and Social Progress Index

Increasing amount of data is available on the web. Web scraping is a technique developed to extract data from web pages automatically and transforming it into a data format for further data analysis and insights. Applied clustering is an unsupervised learning technique that refers to a family of pattern discovery and data mining tools with Related PostKey Phrase Extraction...

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