Natural Language Processing and Text Mining

By Anne Kao, Steve Poteet. 2006

375 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/d1fadcb994e67399b10d9721c2cb86fae8a0f15f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ulf Leser
2. Domonkos Tikk
3. Quang Long Nguyen
4. Zhiyong Lu
5. Alexandros Karatzoglou

Citations in the corpus

• Simple tricks for improving pattern-based information extraction from the biomedical literature (2010, background): “TM aims to discover and extract knowledge from unstructured text, making use of natural language processing (NLP) tools, such as tokenizers, morphological analyzers, part-of-speech-taggers (POS-taggers), and syntactic or deep parsers to process texts [3].”
• Time of Your Hate: The Challenge of Time in Hate Speech Detection on Social Media (2020, neutral): “SVMs belongs to the family of supervised machine learning algorithms and is commonly used to classify data into two independent classes, which very often consists of text classification [33,34].”