Vlado Keselj

Also published as: Vlado Kešelj


e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits
Stacey Taylor | Vlado Keselj
Proceedings of the 3rd Workshop on e-Commerce and NLP

In recent years, the focus of e-Commerce research has been on better understanding the relationship between the internet marketplace, customers, and goods and services. This has been done by examining information that can be gleaned from consumer information, recommender systems, click rates, or the way purchasers go about making buying decisions, for example. This paper takes a very different approach and examines the companies themselves. In the past ten years, e-Commerce giants such as Amazon, Skymall, Wayfair, and Groupon have been embroiled in class action security lawsuits promulgated under Rule 10b(5), which, in short, is one of the Securities and Exchange Commission’s main rules surrounding fraud. Lawsuits are extremely expensive to the company and can damage a company’s brand extensively, with the shareholders left to suffer the consequences. We examined the Management Discussion and Analysis and the Market Risks for 96 companies using sentiment analysis on selected financial measures and found that we were able to predict the outcome of the lawsuits in our dataset using sentiment (tone) alone to a recall of 0.8207 using the Random Forest classifier. We believe that this is an important contribution as it has cross-domain implications and potential, and opens up new areas of research in e-Commerce, finance, and law, as the settlements from the class action lawsuits in our dataset alone are in excess of $1.6 billion dollars, in aggregate.

Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-GAAP Measures in Financial Reporting
Stacey Taylor | Vlado Keselj
Proceedings of the Second Workshop on Financial Technology and Natural Language Processing


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Twitter Bot Detection using Diversity Measures
Dijana Kosmajac | Vlado Keselj
Proceedings of the 3rd International Conference on Natural Language and Speech Processing


Author Verification Using Common N-Gram Profiles of Text Documents
Magdalena Jankowska | Evangelos Milios | Vlado Kešelj
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers


Comparing Word Relatedness Measures Based on Google n-grams
Aminul Islam | Evangelos Milios | Vlado Keselj
Proceedings of COLING 2012: Posters


Book Review: Speech and Language Processing (second edition) by Daniel Jurafsky and James H. Martin
Vlado Keselj
Computational Linguistics, Volume 35, Number 3, September 2009

Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns
Haibin Liu | Christian Blouin | Vlado Kešelj
Proceedings of the BioNLP 2009 Workshop


An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature
Haibin Liu | Christian Blouin | Vlado Kešelj
Biological, translational, and clinical language processing


R{j}ecnik.com : English - Serbo-Croatian Electronic Dictionary
Vlado Kešelj | Tanja Kešelj | Larisa Zlatić
Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries


Language Independent Authorship Attribution with Character Level N-Grams
Fuchun Peng | Dale Schuurmans | Vlado Keselj | Shaojun Wang
10th Conference of the European Chapter of the Association for Computational Linguistics