Topic · Artificial Intelligence
Advanced Text Analysis Techniques
Advanced Text Analysis Techniques is a research topic within Artificial Intelligence. Science Explorer counts 35k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the automatic extraction of keywords from textual data using various techniques such as graph-based methods, unsupervised approaches, and neural networks. The research explores the application of linguistic knowledge and statistical information to improve the accuracy of keyword extraction from documents.
- Automatic
- Extraction
- Textual Data
- Keyword
- Linguistic Knowledge
- Graph-Based
- Unsupervised Approach
- Neural Networks
- Statistical Information
- Document
- Research works
- 35k fractional, since 1950
- In the world top 10%
- 3.4k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +13% the tick is no change
- Largest producer
China
40% of the 10 largest, 2022-now
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