Results 51 to 60 of about 2,214 (198)

Distributed Representations of Sentences and Documents [PDF]

, 2014
Many machine learning algorithms require the input to be represented as a fixed-length feature vector. When it comes to texts, one of the most common fixed-length features is bag-of-words.
Le, Quoc V., Mikolov, Tomas
core   +1 more source

Sentiment/Subjectivity Analysis Survey for Languages other than English

, 2016
Subjective and sentiment analysis have gained considerable attention recently. Most of the resources and systems built so far are done for English. The need for designing systems for other languages is increasing.
Aljadda, Khalifeh, Crandall, David, Korayem, Mohammed   +2 more
core   +1 more source

AI‐Enhanced Semantic Feature Norms for 786 Concepts

Topics in Cognitive Science, EarlyView.
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Xizheng Yu, Mia Patil, Jonathan D. Cohen, Timothy T. Rogers   +6 more
wiley   +1 more source

CANÉPHORE : un corpus français pour la fouille d'opinion ciblée [PDF]

, 2015
National audienceAspect-based sentiment analysis knows a renewed interest these last years, according to recent opinion mining evaluation series (SemEval 2014 and 2015, DEFT 2015). However, publicly available evaluation resources are scarse.
Lark, Joseph, Morin, Emmanuel, Peña Saldarriaga, Sebastián   +2 more
core   +1 more source

Analyse du comportement d'annotation du réseau social d'un utilisateur pour la détection des intérêts - Application sur Delicious [PDF]

, 2015
International audienceL’utilisateur social est caractérisé par son activité sociale comme le partage d’informations et l’établissement de relations avec d’autres utilisateurs. Avec l’évolution du contenu social, l’utilisateur a besoin d’informations plus
Amous, Ikram, Mezghani, Manel, Péninou, André, Sèdes, Florence, Zayani, Corinne Amel   +4 more
core   +2 more sources

Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction [PDF]

, 2022
Hao Chen, Zepeng Zhai, Fangxiang Feng, Ruifan Li, Xiaojie Wang   +4 more
openalex   +1 more source

π‐Expanded Nitrogen‐Cation (N+)‐Doped Polycyclic Aromatic Hydrocarbons: A Review of Intramolecular Cyclization Routes to Benzo[c]Quinolizinium, Triazinium, Pyridoquinazolinium, and Pyridoquinoxalinium Frameworks

European Journal of Organic Chemistry, Volume 29, Issue 4, January 26, 2026.
This review surveys recent progress in the synthesis of extended aromatic quinolizinium derivatives via intramolecular SNAr and oxidative 6π‐electrocyclization. Conventional thermal approaches are discussed alongside emerging, sustainable activation methods such as electrosynthesis and photochemical processes.
Marine Labro, Cyrille Monnereau, Laure Guy   +2 more
wiley   +1 more source

UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

, 2019
Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (vision) and prosodic cues (acoustic).
Hasan, Md Kamrul, Hoque, Mohammed, Morency, Louis-Philippe, Rahman, Wasifur, Tanveer, Md Iftekhar, Zadeh, Amir, Zhong, Jianyuan   +7 more
core   +1 more source

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction [PDF]

Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in sentiment analysis, aiming to provide fine-grained insights into human sentiments. However, existing benchmarks are limited to two domains and do not evaluate model performance on unseen domains, raising concerns about the generalization of proposed methods.
Yew Ken Chia, Hui Chen, Guizhen Chen, Wei Han, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing   +6 more
openalex   +3 more sources

Accuracy and Scaling Factors of Non‐Empirical Double‐Hybrid Density Functionals for Harmonic and Fundamental Frequencies (And ZPVE)

Journal of Computational Chemistry, Volume 47, Issue 1, 05 January 2026.
Scaled factors for non‐empirical double‐hybrid density functionals (i.e., the QIDH family of models) provide average errors of 20 cm−1$$ 20\ {\mathrm{cm}}^{-1} $$ for ahrmonic and fundamental frequencies and 0.1 kcal/mol for ZPVE. ABSTRACT We obtain here scaling factors for harmonic and fundamental vibrational frequencies, as well as for Zero‐Point ...
B. Miguel, E. Brémond, A. J. Pérez‐Jiménez, C. Adamo, J. C. Sancho‐García   +4 more
wiley   +1 more source