NCapture Twitter Word Frequencies Access Jupyter Notebook on Google Colab here: https://colab.research.google.com/drive/1a-U8Bx1KvPrLaLNkM3eMJyJQ7183IchE?usp=sharing Problem: NVivo sets all NCapture record columns from Twitter as Classifying and only the Tweet itself as Codable. For researchers wanting word frequencies and wordclouds from a different
Attention Qualitative Data Researchers: Three big changes to NVivo here at Baylor that you need to know about. (1) Baylor University licenses for NVivo are upgrading to NVivo (Release 1) for both Windows and Mac. See a list of updates
Resources Used for PhD Sermons Class TDM Tool: Voyant-Tools From Wikipedia, “Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but
New Guide: Mining Social Media Content Need to mine data from Twitter, Facebook, Reddit, or Instagram? This guide highlights the top tools you can use to begin mining content.
What is Text Data Mining (briefly): Text Data Mining is the structuring of unstructured text content, followed by the analysis of that unstructured content. Structuring text content applies some sense of order that can then be analyzed. Examples can include
“A simple collection of JSON grabbed from the general twitter stream, for the purposes of research, history, testing and memory. This is the “Spritzer” version, the most light and shallow of Twitter grabs. Unfortunately, we do not currently have access
Ever glance at an article and wonder how complicated it is to read? Or look at a whole heap of texts and wonder which are the most complicated? Are publications in your field of study more or less complicated to
Free tool to analyze Facebook metrics for marketing research, optimizing social media use, and understanding Click here to navigate to the Facebook Group Analyzer on GitHub. This Jupyter Notebook will download the Facebook posts on a group or fan page,
Click here to navigate to the LSI Tool download page. Generates related keywords from a corpus bundled together into topic areas. 10 keywords are generated per topic. A single text file is uploaded and each line is treated as a
Click here to navigate to the Sentiment Per Line download page. Sentiment-Per-Line Sentiment values per line in text file. Results downloaded to structured csv table. Baylor University Libraries: Implementation of VaderSentiment VADER (Valence Aware Dictionary and sEntiment Reasoner)
