• Identify Indirect Voice Sentences - Spanish, Latin
    What does this tool do? Identify sentences in uploaded documents that use the indirect voice. Currently this tool supports Spanish and Latin. How does the tool do this? Spanish: Looks for variations of decir with indirect pronouns to classify as…
  • List Frequencies in Documents
    What does this tool do? Count keywords/keyphrases from a corpus of documents. There are two ways you can provide a list or multiple lists of keywords. Enter the keywords in the Terms textbox, separated by commas. Upload an Excel workbook…
  • Writing Style Similarity: Calculate Probability of Authorship Based on an Implementation of Stylometry
    What does this tool do? Calculates the probability of a document’s authorship based on writing styles. This field of analysis is called Stylometry. (Stylometry - Wikipedia) How does the tool do this? This tool uses the Burrow’s Delta Method to…
  • Accessing NodeXL on Microsoft Azure for Mac Users
    Steps for Mac Users Using NodeXL: These steps will install NodeXL on your instance of the Virtual Desktop (VDI) - You only need to follow these steps once You will need permission to access the virtual desktop. If you have not yet done so, make sure to send an email to helpdesk@baylor.edu from your Baylor…
  • Deep Learning to Identify Human Settlements from Landsat Imagery
    Need to identify human settlement areas from Landsat satellite images? Follow these steps using ArcGIS Pro. "Human settlements maps are useful in understanding growth patterns, population distribution, resource management, change detection, and a variety of other applications where information related to earth surface is required. Human settlements classification is a complex exercise and is hard…
  • Recogito Tagging to spaCy Trained Model
    Recogito Tagging to spaCy Trained Model https://colab.research.google.com/drive/1xB0MVhC1vTvXdlM5iNym_BLCUzU_rE7X?usp=sharing Problem: Researchers manually tagging text content using Recogito may want to train a named entity recognition model based their manual tags. An example of this is where a researcher may collect documents using Gale's Digital Scholar Lab and may want to train their own named entity recognition model.…
  • Butane: Baylor University Transcript Analytics & Exploration Tool
    Butane: Baylor University Transcript Analytics & Exploration Tool provided by Baylor University Click to Launch BUTANE Do you have interview transcripts in Word or PDF format? Want to mine and visualize these transcripts for word frequencies, parts of speech, named entities, sentiment, topics, and words…
  • Jupyter Notebook: NCapture Twitter Word Frequencies
    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 field, such as the hashtags, the optimal method is…