Tech Insights
Text Analytics

Text Analytics

Last updated , generated by Sumble
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What is Text Analytics?

Text analytics, also known as text mining, is the process of deriving high-quality information from text. It involves discovering patterns and trends, extracting key information, and understanding the sentiment and context within large volumes of unstructured text data. It's commonly used for sentiment analysis, topic modeling, information retrieval, and understanding customer feedback.

What other technologies are related to Text Analytics?

Text Analytics Competitor Technologies

Speech analytics competes with text analytics by providing insights from audio data, representing a different modality.
mentioned alongside Text Analytics in 6% (61) of relevant job posts
Azure Cognitive Services offers pre-built text analytics APIs that compete with custom solutions.
mentioned alongside Text Analytics in 1% (58) of relevant job posts
OpenAI offers powerful pre-trained models and APIs that can be used for text analytics, competing with custom solutions.
mentioned alongside Text Analytics in 0% (60) of relevant job posts

Text Analytics Complementary Technologies

These methods provide the foundation for many text analytics techniques.
mentioned alongside Text Analytics in 90% (111) of relevant job posts
Sequence labeling is a core task in text analytics, used for tasks like part-of-speech tagging and named entity recognition.
mentioned alongside Text Analytics in 78% (116) of relevant job posts

Which job functions mention Text Analytics?

Job function
Jobs mentioning Text Analytics
Orgs mentioning Text Analytics
Data, Analytics & Machine Learning

Which organizations are mentioning Text Analytics?

Organization
Industry
Matching Teams
Matching People
Text Analytics
Elevance Health
Health Care and Social Assistance

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