About this document
Text Mining: Techniques and Processes by sakithyasenthil is a document available to read on EtoBox.
Text mining, or text analytics, involves extracting insights from unstructured text data using techniques from Natural Language Processing (NLP), machine learning, and statistics. The process includes steps such as data collection, text preprocessing, indexing, and query processing to ensure efficient retrieval and analysis of relevant information. Key techniques used in text mining include tokenization, stopword removal, stemming, lemmatization, and named entity recognition, which enhance the understanding
- Author
- sakithyasenthil
- Language
- EN