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The word lists packaged and shared amongst researchers to measure for bias in online texts often carry words, or “seeds,” with baked-in biases and stereotypes, which could skew their findings, new Cor...
Context specific text mining for annotating protein interactions with experimental evidence
Systems biology Methodology
2015/5/26
Proteins are the building blocks in a biological system. They interact with other proteins to make unique biological phenomenon. Protein-protein interactions play a valuable role in understanding the ...
Trends in Natural Language Processing and Text Mining
Trends Natural Language Processing Text Mining
2010/9/25
Communication, information, opinions, and even feelings are shared, stored and encoded by humans and by their institutions in natural language (as opposed to the artificial, programming or structured ...
Aspects of Text Mining From Computational Semiotics to Systemic Functional Hypertexts
Text Mining Computational Semiotics Systemic Functional Hypertexts
2009/12/9
The significance of natural language texts as the prime information structure for the management and dissemination of knowledge in organisations is still increasing. Making relevant documents availabl...
Semantic scoring based on Small-World Phenomenon for feature selection in text mining
Semantic scoring Small-World Phenomenon feature selection in text mining
2010/12/16
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...