Tech Insights
text mining

text mining

Last updated , generated by Sumble
Explore more →

What is text mining?

Text mining, also known as text data mining, is the process of automatically extracting useful information and knowledge from unstructured text data. It involves techniques from natural language processing, information retrieval, machine learning, and data mining to discover patterns, trends, and relationships within large text corpora. Common uses include sentiment analysis, topic modeling, document classification, and information extraction.

What other technologies are related to text mining?

text mining Complementary Technologies

Technique that can be combined with text mining to understand relationship dynamics within textual data on social platforms.
mentioned alongside text mining in 41% (244) of relevant job posts
A text mining task that can benefit from accurate information extraction.
mentioned alongside text mining in 24% (76) of relevant job posts
Text mining task to determine the emotional tone.
mentioned alongside text mining in 8% (137) of relevant job posts

Which job functions mention text mining?

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

Which organizations are mentioning text mining?

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.