29.1 zynlp demo
20210421
The pre-built demonstration analyses sentences and identifies their sentiment.
=============================================
Zeyu Gao's Sentiment Analysis Pre-Built Model
=============================================
Welcome to a demo of a re-built model for Sentiment
Analysis.
Sentiment analysis is an example application of Natural Language
Processing (NLP). Sentences are assessed by the model to capture their
sentiment. See https://onepager.togaware.com.
The model load may take a few seconds.
Press Enter to continue:
================================
Here's to having a glorious day.
================================
Passing the above text on to the pre-built model to determine
sentiment identifies the sentiment as being:
positive
Press Enter to continue:
=========================
That was a horrible meal.
=========================
Passing the above text on to the pre-built model to determine
sentiment identifies the sentiment as being:
negative
Further examples are presented in the demonstration.
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0
