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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It also automates tasks like information extraction and content categorization. positive, negative or neutral).

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Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in…

ODSC - Open Data Science

This strategy involved several stages, such as understanding the problem, categorizing the landscape of questions, and designing clear guidelines for annotators. She has worked in several analytical domains, ranging from Retail and Urban Analysis to Customer Intelligence.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Lexalytics A software-as-a-service and service provider called Lexalytics (formerly Semantria) focuses on cloud-based text analytics and sentiment analysis. This BI/analytics application provides a simple method for decoding insightful information and sentiment analysis from significant amounts of unstructured text.