As a transitional step, this site will temporarily be made Read-Only from July 8th until the new community launch. During this time, you can still search and read articles and discussions.

While the community is read-only, if you have questions or issues requiring TIBCO review/response, please access the new TIBCO Community and select "Ask A Question."

You will need to register or log in or register to engage in the new community.

NLP Python Toolkit for TIBCO Spotfire®

This Python toolkit contains natural language processing (NLP) functions that provide exploratory analysis of text data.

Compatible Products

TIBCO Spotfire®

Provider

TIBCO Software

Compatible Versions

Supported version TIBCO Spotfire 10.7 and higher, tested on 11.3 

(Created in TIBCO Spotfire 11.3 with Python 3.8, library versions: pandas-1.2.3, nltk-3.6.2, scipy-1.6.3, spacy-3.0.6, spacytextblob-3.0, scikit-learn-0.24.2 numpy-1.20.1)

License

BSD

Overview

This release includes data functions that preprocess or clean text, extract n-gram features, and tag entities in any English text using a combination of NLP methods and algorithms. The preprocessing steps include removing stop words, removing special characters, removing numbers, and performing text normalization like stemming or lemmatization. The n-gram features show the most frequent n-grams and top keywords per document. The tagging functions perform named entity recognition, part-of-speech tagging, and sentiment analysis.

Installing the data function
Follow the online guide available here to register a data function in Spotfire

Configuring the data function
Each data function may require inputs from the Spotfire analysis and will return outputs to the Spotfire analysis. For each data function these need to be configured once the data function is registered. To learn about how to configure data functions in Spotfire please view this YouTube Data Function guide, and for more information on Spotfire visit the Spotfire Enablement Hub

Release(s)

Release 1.1.0

Published: May 2022

Changes Include:

  • Fixes to minor bugs
  • Remove N-gram Keywords that don't appear in original text
  • Options to Choose any Langauge Model
  • Make more Parameters Optional

Release Includes:

  • Data function
  • Dxp with example usage
  • Documentation
  • License information

Initial Release (version 1.0.0)

There are currently no reviews for this content.

Why not be the first to review it - click here to login

No reference content found. Please check back soon.