Natural Language Understanding includes a set of text analytics features that can be used to extract meanings from unstructured data such as a text file. Tone Analyzer on the other hand understand emotions and communication styles in a text. We combine the capabilities of both the services to extract meaningful insights in the form of NLU Analysis Report from a natural language transcript generated by transcribing IBM earnings call Q1 2019 meeting video recording. The report will consists of sentiment analysis of the meeting, top positive sentences spoken in the meeting and word clouds based on keywords, using Python Flask runtime.
In this workshop, given a text file, we learn how to extract keywords, emotions, sentiments, positive sentences, and much more using Watson Natural Language Understanding and Tone Analyzer.
🎓 What will you learn?
When you have completed this workshop, you will understand how to:
🔥Use advanced NLP to analyze text and extract meta-data from content such as concepts, entities, keywords, categories, sentiment and emotion.
🔥Leverage Tone Analyzer’s cognitive linguistic analysis to identify a variety of tones at both the sentence and document level.
🔥Connect applications directly to Cloud Object Storage.
👩💻 Who should attend?
All tech guys are welcome to attend the webinar!
☁ Register for a free IBM Cloud Account: https://ibm.biz/BdqUUc
prior to the event to get the most out of our workshop.
Tal Neeman, IBM Developer Advocate
Tel Aviv, Israel