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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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