activity
20122026
most citedNRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

456 citations · 1.4k across the 47 of their papers we have counts for

collaborators

56 papers

cs.CL2026

Mixed Feelings, Single Polarity

Emily Öhman, Saif Mohammad

Emotion datasets are routinely mapped onto positive and negative valence, by assigning each emotion category one polarity. We test where this works and where it fails, using SemEva…

cs.CL2024

Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science

Aniket Pramanick, Yufang Hou, Saif M. Mohammad +1

Large Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP's influence to other fields of study. H…

cs.CL2024★ 2 cited

The Nature of NLP: Analyzing Contributions in NLP Papers

Aniket Pramanick, Yufang Hou, Saif M. Mohammad +1

Natural Language Processing (NLP) is an established and dynamic field. Despite this, what constitutes NLP research remains debated. In this work, we address the question by quantit…

cs.CL2023

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age

Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad

Emerging psychopathology studies are showing that patterns of changes in emotional state -- emotion dynamics -- are associated with overall well-being and mental health. More recen…

cs.CL2023★ 1 cited

Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis

Daniela Teodorescu, Saif M. Mohammad

Emotion arcs capture how an individual (or a population) feels over time. They are widely used in industry and research; however, there is little work on evaluating the automatical…

cs.CL2023

Forgotten Knowledge: Examining the Citational Amnesia in NLP

Janvijay Singh, Mukund Rungta, Diyi Yang +1

Citing papers is the primary method through which modern scientific writing discusses and builds on past work. Collectively, citing a diverse set of papers (in time and area of stu…