Semantic similarity methods in wordNet and their application to information retrieval on the web

By Giannis Varelas, Epimenidis Voutsakis, Paraskevi Raftopoulou, Euripides G. M. Petrakis, Evangelos E. Milios. ACM International Workshop on Web Information and Data Management, 2005

398 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/a6c9d8105d16db8e34ea33e68711fdb56de9c9a3

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. Chaitanya Kulkarni
2. Mayur Wankhade
3. A. C. Rao

Citations in the corpus

• A survey on sentiment analysis methods, applications, and challenges (2022, background): “A well-known example is a SentiWordNet lexicon. contrarily, statistical processes are entirely automated and are widely used for feature selection, although they typically fail to distinguish between sentimental and non-sentimental features (Poria et al. 2014; Varelas et al. 2005).”