Tech Insights

text classification

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What is text classification?

Text classification, also known as text categorization or text tagging, is the process of assigning predefined categories or labels to text documents. It's a fundamental task in natural language processing (NLP) and machine learning. Common uses include sentiment analysis (determining the emotional tone of text), topic detection (identifying the main subject of a document), spam filtering (classifying emails as spam or not spam), and intent recognition (understanding the user's purpose in a piece of text).

What other technologies are related to text classification?

text classification Complementary Technologies

Can be used for data preprocessing or analysis within text classification pipelines.
mentioned alongside text classification in 26% (131) of relevant job posts
NER can extract features that improve text classification accuracy.
mentioned alongside text classification in 25% (123) of relevant job posts
Sentiment analysis can provide features for improved classification, especially in social media or review analysis contexts.
mentioned alongside text classification in 13% (224) of relevant job posts

Which job functions mention text classification?

Job function
Jobs mentioning text classification
Orgs mentioning text classification
Data, Analytics & Machine Learning

Which organizations are mentioning text classification?

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