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Extracting meaning from text and creating a custom language model to optimize NLP results: NLP hands-on workshop series

Published: 04 November 2019 Publication History

Abstract

The use of Natural Language Processing (NLP) is becoming common:
- Social media
- Customer-service "bots"
- Automatic captioning
- Cognitive-enhanced search
- Applications for school, jobs, or loans
- Health monitoring
- Legal processes
- Law enforcement and security
Once of interest to only academics, now the use of NLP impacts everyone.
These workshops, "NLP Hands-on Workshop Series Session 1: Extracting meaning from text using a notebook in Watson Studio" and "NLP Hands-on Workshop Series Session 2: Creating a custom language model to optimize NLP results", provided an opportunity to perform NLP tasks with real data, using IBM Cloud services. In these workshops we discussed real-world pitfalls and challenges, such as:
- Assessing the quality of potential training data
- Collecting and preparing training and test data
- Assessing if a model is performing well enough to meet project objectives
- Visualizing results to drive business decisions

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  1. Extracting meaning from text and creating a custom language model to optimize NLP results: NLP hands-on workshop series

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    Published In

    cover image DL Hosted proceedings
    CASCON '19: Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering
    November 2019
    421 pages

    Publisher

    IBM Corp.

    United States

    Publication History

    Published: 04 November 2019

    Author Tags

    1. AI
    2. IBM Watson knowledge studio
    3. IBM Watson natural language understanding
    4. IBM Watson studio
    5. IBM watson
    6. NLP
    7. Python
    8. artificial intelligence
    9. custom language model
    10. natural language processing
    11. notebook

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