Sapna Negi


2019

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SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums
Sapna Negi | Tobias Daudert | Paul Buitelaar
Proceedings of the 13th International Workshop on Semantic Evaluation

We present the pilot SemEval task on Suggestion Mining. The task consists of subtasks A and B, where we created labeled data from feedback forum and hotel reviews respectively. Subtask A provides training and test data from the same domain, while Subtask B evaluates the system on a test dataset from a different domain than the available training data. 33 teams participated in the shared task, with a total of 50 members. We summarize the problem definition, benchmark dataset preparation, and methods used by the participating teams, providing details of the methods used by the top ranked systems. The dataset is made freely available to help advance the research in suggestion mining, and reproduce the systems submitted under this task

2018

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Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain
Tobias Daudert | Paul Buitelaar | Sapna Negi
Proceedings of the First Workshop on Economics and Natural Language Processing

With the rising popularity of social media in the society and in research, analysing texts short in length, such as microblogs, becomes an increasingly important task. As a medium of communication, microblogs carry peoples sentiments and express them to the public. Given that sentiments are driven by multiple factors including the news media, the question arises if the sentiment expressed in news and the news article themselves can be leveraged to detect and classify sentiment in microblogs. Prior research has highlighted the impact of sentiments and opinions on the market dynamics, making the financial domain a prime case study for this approach. Therefore, this paper describes ongoing research dealing with the exploitation of news contained sentiment to improve microblog sentiment classification in a financial context.

2016

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A Study of Suggestions in Opinionated Texts and their Automatic Detection
Sapna Negi | Kartik Asooja | Shubham Mehrotra | Paul Buitelaar
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics

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Suggestion Mining from Opinionated Text
Sapna Negi
Proceedings of the ACL 2016 Student Research Workshop

2015

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Towards the Extraction of Customer-to-Customer Suggestions from Reviews
Sapna Negi | Paul Buitelaar
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Curse or Boon? Presence of Subjunctive Mood in Opinionated Text
Sapna Negi | Paul Buitelaar
Proceedings of the 11th International Conference on Computational Semantics

2014

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INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis
Sapna Negi | Paul Buitelaar
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2013

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UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi | Michael Rosner
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)