Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews
Code (0)
등록된 구현이 없습니다.
Tasks
NegationSentiment AnalysisSimilar Papers 제목 키워드 기반
Mechanistic Interpretability of GPT-2: Lexical and Contextual Layers in Sentiment Analysis
2025-12-07
· Amartya Hatua
arxiv
We present a mechanistic interpretability study of GPT-2 that causally examines how sentiment information is processed across its transformer layers. Using systematic activation patching across all 12 layers, we test the…
Sentiment AnalysisWe Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!
2017-09-01 · RANLP 2017 9
· Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev
It is completely amazing! Fake news and {``}click baits{''} have totally invaded the cyberspace. Let us face it: everybody hates them for three simple reasons. Reason {\#}2 will absolutely amaze you. What these can achie…
Author ProfilingClickbait DetectionWord EmbeddingsWe Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!
2018-03-10
· Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev
It is completely amazing! Fake news and click-baits have totally invaded the cyber space. Let us face it: everybody hates them for three simple reasons. Reason #2 will absolutely amaze you. What these can achieve at the …
Author ProfilingDo Supervised Distributional Methods Really Learn Lexical Inference Relations?
2015-05-01 · HLT 2015 5
· Ido Dagan, Chris Biemann, Omer Levy, Steffen Remus
Lexical EntailmentWord Similarity
LT3: Sentiment Analysis of Figurative Tweets: piece of cake \#NotReally
2015-06-01 · SEMEVAL 2015 6
· Cynthia Van Hee, Els Lefever, V{\'e}ronique Hoste
Sentiment Analysis