Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Programming Tags Data Visualisation ggplot2 R Programming Sentiment Analysis Text Mining The motivation for an updated analysis: The first publication of Parsing text for emotion terms: analysis & visualization Using R published in May 2017 used ...

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 ...

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 ...

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 ...

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 ...