Author: Zen and the Art of Computer Programming
1. What is text analysis?
Text analysis refers to the discipline of researching, understanding, processing, classifying and organizing text. The main purpose is to transform the information in the text into structured data that can be used in application fields such as analysis, decision-making, or recommendation.
2. Application scenarios of text analysis
- spam filter
- Text sentiment analysis
- Search engine results ranking optimization
- Text-based marketing promotion
- Data mining, statistical analysis and development of artificial intelligence systems
- Automatic summary generation of article content on Wikipedia, Wikimedia, and news websites
- Topic extraction for conference papers, reports and presentations
3. Goals of text analysis
The goal of text analysis is to use computer algorithms to quickly, accurately and automatically extract, analyze and summarize the characteristics of a large amount of text data, thereby discovering valuable information and generating useful conclusions. By effectively processing, analyzing and modeling text data, data acquisition can be made more efficient, reliable and intuitive. The core of the text analysis method is the comprehensive application of natural language processing (NLP), pattern recognition, machine learning, data mining, information retrieval, etc. in computer systems.
4. The process of text analysis
- Preprocessing stage: remove noise, clean data, and extract effective features
- Cleaning phase: eliminate duplicate and irrelevant data
- Standardization stage: convert data format and unify encoding method
- Extraction stage: Determine effective features and perform term extraction, correlation analysis, and feature engineering
- Model training and evaluation: train the model and select optimal parameters
- Deployment phase: apply the model to the actual production environment
- Evaluation phase: verify model accuracy, improve performance, and adjust the model based on feedback
- Maintenance phase: Continuously improve the model, add new data, update algorithms and models
[External link image transfer failed. The source site may have an anti-leeching mechanism. It is recommended to transfer the image to