mlsanityData to 7 Oct 2026

Leveraging Cognitive Features for Sentiment Analysis

arXiv 1701.05581 ↗First posted 19 Jan 2017cs.CLcited by 19

Not on the map. Why?

Abstract (arXiv)

Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic levels. To address this, we propose to augment traditional features used for sentiment analysis and sarcasm detection, with cognitive features derived from the eye-movement patterns of readers. Statistical classification using our enhanced feature set improves the performance (F-score) of polarity detection by a maximum of 3.7% and 9.3% on two datasets, over the systems that use only traditional features. We perform feature significance analysis, and experiment on a held-out dataset, showing that cognitive features indeed empower sentiment analyzers to handle complex constructs.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jan 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 4; 2023: 4; 2024: 3; 2025: 2; 2026: 2.

19 papers.

Sort:

By area:

  1. 2022Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?cited by 20
  2. 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
  3. 2023Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Readingcited by 18
  4. 2023Synthesizing Human Gaze Feedback for Improved NLP Performancecited by 16
  5. 2021Decoding EEG Brain Activity for Multi-Modal Natural Language Processingcited by 13
  6. 2021CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signalscited by 11
  7. 2021A Survey on Using Gaze Behaviour for Natural Language Processingcited by 11
  8. 2024Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Modelscited by 11
  9. 2022The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Textscited by 7
  10. 2023WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Datasetcited by 6
  11. 2024PoTeC: A German Naturalistic Eye-tracking-while-reading Corpuscited by 5
  12. 2024EMTeC: A Corpus of Eye Movements on Machine-Generated Textscited by 5
7 more
  1. 2025OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responsescited by 3
  2. 2023DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Readingcited by 2
  3. 2022Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Taskcited by 1
  4. 2021Near-Zero-Shot Suggestion Mining with a Little Help from WordNetcited by 0
  5. 2025Decoding Open-Ended Information Seeking Goals from Eye Movements in Readingcited by 0
  6. 2026Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Readingcited by 0
  7. 2026Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpuscited by 0