[KongchangAI]
Concept文本数据挖掘 / Text Mining

Text Mining

A technology for automatically extracting useful information and knowledge from large volumes of unstructured text data. The process encompasses data collection, cleansing, feature extraction, topic analysis, and sentiment analysis, among other steps. Text mining sits at the intersection of natural language processing and data science, enabling structured insights to be derived from sources such as documents, web pages, and social media content.

Timeline (last 90 days)

Sep 19

The complete text mining workflow includes data collection, data preprocessing (cleaning), feature extraction (word vectorization), and three core analysis methods: clustering analysis, topic analysis, and sentiment analysis.

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