Text Analytics
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Explore more → **Text Analytics**
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
Speech analytics competes with text analytics by providing insights from audio data, representing a different modality.
Azure Cognitive Services
Azure Cognitive Services offers pre-built text analytics APIs that compete with custom solutions.
OpenAI
OpenAI offers powerful pre-trained models and APIs that can be used for text analytics, competing with custom solutions.
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Text Analytics Complementary Technologies
Probabilistic and Statistical Learning Methods
No summary available
These methods provide the foundation for many text analytics techniques.
Sequence Labeling
No summary available
Sequence labeling is a core task in text analytics, used for tasks like part-of-speech tagging and named entity recognition.
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Which job functions commonly mention Text Analytics?
Data Scientist
0.1% of all Data Scientist jobs mention Text Analytics
View 235
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention Text Analytics
View 61
jobs on Sumble
Data, Analytics & Machine Learning
464 Data, Analytics & Machine Learning jobs mention Text Analytics
View 464
jobs on Sumble
Machine Learning
27 Machine Learning jobs mention Text Analytics
View 27
jobs on Sumble
Data Analyst
118 Data Analyst jobs mention Text Analytics
View 118
jobs on Sumble
Which organizations are mentioning Text Analytics?
Elevance Health
Health Care and Social Assistance
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