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Danushka Bollegala

Researcher at University of Liverpool

Publications -  205
Citations -  4175

Danushka Bollegala is an academic researcher from University of Liverpool. The author has contributed to research in topics: Semantic similarity & Relationship extraction. The author has an hindex of 30, co-authored 205 publications receiving 3632 citations. Previous affiliations of Danushka Bollegala include Amazon.com & National Institute of Informatics.

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Proceedings ArticleDOI

Measuring Semantic Similarity between Words Using Web Search Engines

TL;DR: A robust semantic similarity measure that uses the information available on the Web to measure similarity between words or entities and a novel approach to compute semantic similarity using automatically extracted lexico-syntactic patterns from text snippets is proposed.
Journal ArticleDOI

Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus

TL;DR: The proposed method significantly outperforms numerous baselines and returns results that are comparable with previously proposed cross-domain sentiment classification methods on a benchmark data set containing Amazon user reviews for different types of products.
Journal ArticleDOI

A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

TL;DR: This work proposes an empirical method to estimate semantic similarity using page counts and text snippets retrieved from a web search engine for two words, and proposes a novel pattern extraction algorithm and a pattern clustering algorithm that significantly improves the accuracy in a community mining task.
Proceedings Article

Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification

TL;DR: This work automatically creates a sentiment sensitive thesaurus using both labeled and unlabeled data from multiple source domains to find the association between words that express similar sentiments in different domains, which is then used to expand feature vectors to train a binary classifier.
Journal ArticleDOI

Social media and pharmacovigilance: A review of the opportunities and challenges

TL;DR: Key challenges identifying relevant current research and possible solutions in addressing technical, regulatory and ethical challenges of adverse drug reactions are outlined.