Analytics Vidhya

JULY 8, 2020

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.

Categorization 329

Categorization NLP Natural Language Processing Text Analytics 329

SAS Software

APRIL 4, 2024

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 Fortunately, you’re not alone but part of [.]

Natural Language Processing 64

Natural Language Processing Text Analytics Categorization Large Language Models 64

AssemblyAI

MAY 24, 2024

Organize, Categorize, and Annotate for Deeper Insights Searchable media  enables better organization and archiving of research data, allowing researchers to tag and categorize audio segments based on topics or keywords. This creates a well-organized repository that is easily accessible for future studies or follow-up research.

Categorization 147

Categorization Data Analysis AI AI 147

IBM Journey to AI blog

AUGUST 28, 2023

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).

Convolutional Neural Networks 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Flipboard

MARCH 10, 2023

Text classification is the process of automatically categorizing text into predefined categories. This is an important task in natural language …

Categorization 65

Categorization Python Text Analytics Machine Learning 65

LevelAI

NOVEMBER 6, 2023

Existing text analytics tools work with NPS and CSAT survey feedback but are limited to extracting keywords and rudimentary sentiment detection. It then automatically identifies broad topics and finer subtopics to categorize the conversations. A large number of conversations over the past week were categorized as “water damage”.

Generative AI 52

Generative AI Categorization Large Language Models AI 52

Lexalytics

MAY 25, 2021

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.

Natural Language Processing 52

Natural Language Processing NLP Text Analytics Categorization 52