Application of Text Analysis
- Legal Document Analysis: Assisting legal professionals in parsing and summarizing complex legal documents for faster comprehension.
- Healthcare Data Insights: Analyzing medical records and patient feedback to derive insights for improved healthcare services and patient care.
- Financial Data Evaluation: Enhancing fraud detection by scrutinizing large volumes of financial texts to identify irregularities and potential risks.
- Educational Content Enhancement: Improving educational materials by analyzing student feedback and adapting content to better suit learning needs.
What is Text Analytics ?
In a world filled with words, from social media posts to online reviews, understanding what they mean on a large scale is no easy task. That’s where text analytics comes in—a powerful tool that helps us make sense of all this information.
In this article, we’ll take a closer look at text analytics, breaking down what it is, Understanding How it works, its applications, and Techniques.
Table of Content
- What is Text Analytics?
- Why is Text Analytics Important?
- What Text Analytics Can Do?
- How Text Analytics Work?
- Language Identification
- Tokenization
- Sentence Breaking
- Part of Speech Tagging
- Chunking
- Syntax Parsing
- Sentence Chaining
- Various Text Analytics Techniques
- Application of Text Analysis
- The Impact of Text Analytics
- The Future of Text Analytics