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Streamlining government regulatory responses with natural language processing, GenAI and text analytics

SAS Software

Each stone needs to be carefully examined, categorized and placed in the correct bucket, which takes about five minutes per stone. Streamlining government regulatory responses with natural language processing, GenAI and text analytics was published on SAS Voices by Tom Sabo

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Build Text Categorization Model with Spark NLP

Analytics Vidhya

Overview Setting up John Snow labs Spark-NLP on AWS EMR and using the library to perform a simple text categorization of BBC articles. The post Build Text Categorization Model with Spark NLP appeared first on Analytics Vidhya. Introduction.

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Understanding Polarity in Natural Language Processing (NLP)

Lexalytics

One of the most important and most-used functions in text analytics and NLP is sentiment analysis — the process of determining whether a word, phrase, or document is positive, negative, or neutral. At Lexalytics, an InMoment company, our approach has been to hand-categorize content into polar and non-polar groups.

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

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? 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.

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

ODSC - Open Data Science

To save time for our financial advisors, our team decided to experiment with generative natural language processing (NLP) models to assist them in their daily conversations with clients. She has worked in several analytical domains, ranging from Retail and Urban Analysis to Customer Intelligence.

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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Text mining is also known as text analytics or Natural Language Processing (NLP). Thus it helps in improving their products and services.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Using causal graphs, LIME, Shapley, and the decision tree surrogate approach, the organization also provides various features to make it easier to develop explainability into predictive analytics models. IBM Watson Studio Since its founding in 1975, SPSS has developed into one of the leading statistical and analytics programs.