Technological Forecasting and Social ChangeKostoff R.N,Toothman D.R,Eberhart H.J.Text mining usingdatabase tomography and bibliometrics:a review.TechnologicalForecasting and Social Change. 2001R. N. Kostoff. Tex
Keywords: text analysis, text mining, machine learning, social media Summary A useR! Talk about text analysis and text mining using R. I would cover the broad set of tools for text analysis and natural language processing in R, with an emphasis on my R p...
It will point out the advantages and limitations of using satellite data for this purpose, factors that need to be taken into account and questions that should be addressed in the study design stage. We then provide a summary of current satellite capabilities including examples, guided by R ...
The first step to big data analytics is gathering the data itself. This is known as “data mining.” Data can come from anywhere. Most businesses deal with gigabytes of user, product, and location data. In this tutorial, we’ll be exploring how we can usedata miningtechniques to gather T...
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like dplyr, broom, tidyr, and ggplot2. In this package, we ...
This paper attempts to introduce an implementation model for student internship placement involving Case-Based Reasoning, a machine learning technique as a data mining tool to select qualified students from a pool of applicants. Using a three-tier architecture, the system provides an avenue for higher...
M. Data Mining: Technologies, Techniques, Tools, and Trends (CRC Press, 1999). Google Scholar Alfalqi, K. & Alghamdi, R. A survey of topic modeling in text mining. Int. J. Adv. Comput. Sci. Appl. https://doi.org/10.14569/IJACSA.2015.060121 (2015). Hao, T. A bibliometric ...
This is the second part to a companionpostI have on “parsing textual data for emotion terms”. As with the first post, the raw text data set for this analysis was using Mr. Warren Buffett’s annual shareholderlettersin the past 40-years (1977 – 2016). The R code to retrieve the le...
The amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. In addition, this information can improve the quality of healthcare off
Reference:An Introduction to Text Mining using Twitter Streaming API and Python Reference:How to Register a Twitter App in 8 Easy Steps Getting Data from Twitter Streaming API Reading and Understanding the data Mining the tweets Key Methods: ...