9 Result(s)
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Pushpak Bhattacharyya
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Article
Open AccessPredicting multi-label emojis, emotions, and sentiments in code-mixed texts using an emojifying sentiments framework
In the era of social media, the use of emojis and code-mixed language has become essential in online communication. However, selecting the appropriate emoji that matches a particular sentiment or emotion in th...
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Article
Open AccessSymptoms are known by their companies: towards association guided disease diagnosis assistant
Over the last few years, dozens of healthcare surveys have shown a shortage of doctors and an alarming doctor-population ratio. With the motivation of assisting doctors and utilizing their time efficiently, au...
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Article
ScienceQA: a novel resource for question answering on scholarly articles
Machine Reading Comprehension (MRC) of a document is a challenging problem that requires discourse-level understanding. Information extraction from scholarly articles nowadays is a critical use case for resear...
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Article
Open AccessDeep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals using computational methods has been a severe challenge. Anyone presenting with suicidal thoughts, mainly recurring...
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Article
Open AccessInvestigating the impact of emotion on temporal orientation in a deep multitask setting
Temporal orientation is an important aspect of human cognition which shows how an individual emphasizes past, present, and future. Theoretical research in psychology shows that one’s emotional state can influe...
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Chapter and Conference Paper
Natural Language Generation Using Transformer Network in an Open-Domain Setting
Prior works on dialog generation focus on task-oriented setting and utilize multi-turn conversational utterance-response pairs. However, natural language generation (NLG) in the open-domain environment is more...
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Chapter and Conference Paper
Incorporation of Neighborhood Concept in Enhancing SOM Based Multi-label Classification
The self-organizing map (SOM), which is a type of neural network, helps in the exploratory phase of data mining by projecting the input data into a lower-dimensional map consisting of a grid of neurons. In rec...
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Chapter and Conference Paper
WikiSent: Weakly Supervised Sentiment Analysis through Extractive Summarization with Wikipedia
This paper describes a weakly supervised system for sentiment analysis in the movie review domain. The objective is to classify a movie review into a polarity class, positive or negative, based on those sentences...
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Chapter and Conference Paper
Text Similarity Measurement Using Concept Representation of Texts
Measuring semantic nearness of documents is important for accurate information retrieval, automated text categorization and classification. Inspired by the observation that text documents contain semantically coh...
