Filters








65 Hits in 6.8 sec

Combining Context-aware Embeddings and an Attentional Deep Learning Model for Arabic Affect Analysis on Twitter

Hanane Elfaik, El Habib Nfaoui
2021 IEEE Access  
In this paper, we address the problem of Arabic affect detection (multilabel emotion classification) by combining the transformer-based model for Arabic language understanding AraBERT and an attention-based  ...  Context awareness is very relevant for identifying human emotions and affects behind a piece of text. Capturing the context of a piece of text is often perceived as a challenge.  ...  [34] proposed a lexicon-based approach to extract and predict emotions in Arabic texts.  ... 
doi:10.1109/access.2021.3102087 fatcat:4y4ah7mxnzf7dfuducohavjboy

Over a Decade of Social Opinion Mining [article]

Keith Cortis, Brian Davis
2020 arXiv   pre-print
Such multi-source information fusion plays a fundamental role in mining of people's social opinions from social media platforms.  ...  These can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance  ...  Some studies composed their lexicons from emoticons/emojis that were extracted from a dataset [478, 49, 427, 347, 349, 316, 395, 448, 434, 411], combined publicly available emoticon lexicons/lists  ... 
arXiv:2012.03091v1 fatcat:bm5nydbdvbalzi33l3w2ivkdja

User-Generated Content (UGC) Credibility on Social Media Using Sentiment Classification

Esraa Afify, Ahmed Sharaf Eldin, Ayman E. Khedr, Fahad Kamal Alsheref
2019 النشرة المعلوماتیة فی الحاسبات والمعلومات  
approach for measuring posts credibility.  ...  This paper adapted some of the existing literature and concluded that many previous approaches have investigated information credibility on Twitter and a limited number of Facebook for proposing a new  ...  The new lexicon was collected manually from microblogs websites.  ... 
doi:10.21608/fcihib.2019.107506 fatcat:w4vazjtyl5h6zdz2kol2vn5hsy

A Literature Review on Application of Sentiment Analysis Using Machine Learning Techniques

Anvar Shathik J, Krishna Prasad K
2020 Zenodo  
This paper presents the common techniques of analyzing sentiment from a machine learning perspective.  ...  Finally, this paper includes a research proposal for e-commerce environment towards sentiment analysis applying machine learning algorithms.  ...  The automatic feeling analysis includes extracting a feeling from an unstructured resource, including text, photos, or audio. For automated sentiment analysis, there are several further advantages.  ... 
doi:10.5281/zenodo.3977576 fatcat:djsvzgiypnfibcvj6swo3pw75u

A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks [article]

Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
2022 arXiv   pre-print
To serve as a resource for academics in this rapidly growing field, we introduce a comprehensive overview of textual and visual SA, including data pre-processing, feature extraction techniques, sentiment  ...  Consequently, automated sentiment analysis (SA) is critical for recognising people's feelings in ways that other information sources cannot.  ...  The result showed that the hybrid method is better than the HARN [110] suggested a hybrid incremental learning method for Arabic tweet SA (HILATSA), which uses ML and a lexicon-based approach, for determining  ... 
arXiv:2207.02160v1 fatcat:l3vxpjnqkrfthkvhdldwonpoe4

A novel COVID ‐19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long‐short term memory on Twitter

Abdullah Talha Kabakus
2022 Concurrency and Computation  
Sentiment analysis deals with the extraction of the sentiment of a given text.  ...  A set of experiments were conducted for the evaluation of the proposed model.  ...  ACKNOWLEDGMENT We would like to thank Google for providing free computational resources through the Colab platform.  ... 
doi:10.1002/cpe.6883 pmid:35539003 pmcid:PMC9074424 fatcat:faziqzke3jcbjib5oj4lvgba3a

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi
2021 Journal of Big Data  
Researchers have applied numerous opinions mining techniques, including machine learning and lexicon-based approach to analyse and classify people's sentiments based on a text and discuss the existing  ...  Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text.  ...  The authors fully acknowledge UPNM and MOHE for the approved fund, which made this research viable and effective.  ... 
doi:10.1186/s40537-021-00536-5 pmid:34900516 pmcid:PMC8642766 fatcat:gnbhgoafnngkzdyjspvrqqgxli

Sentiment analysis using deep learning approaches: an overview

Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Ge Yu
2019 Science China Information Sciences  
However, it is still a challenge to these traditional approaches to adjust a designed model for a specific task to a new task, especially lexicon based methods.  ...  The lexicon-based approaches are types of the traditional approaches for sentiment analysis that use precompiled sentiment lexicons containing different words and their polarity to classify a given word  ...  In past years, several approaches for sentiment analysis have been proposed and pioneered by Stone et al. [7] who developed a computer system for content analysis using lexicon. Later, Pang et al.  ... 
doi:10.1007/s11432-018-9941-6 fatcat:nbevrfiyybhszirol2af26c6ve

A Review on Text-Based Emotion Detection – Techniques, Applications, Datasets, and Future Directions [article]

Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Vora, Ilias Pappas
2022 arXiv   pre-print
The field of text-based emotion detection (TBED) is advancing to provide automated solutions to various applications, such as businesses, and finances, to name a few.  ...  TBED has gained a lot of attention in recent times. The paper presents a systematic literature review of the existing literature published between 2005 to 2021 in TBED.  ...  Moreover, the authors studied different corpora and different lexicons available for emotion detection from text.  ... 
arXiv:2205.03235v1 fatcat:b3m25fg6xfc3leeym22eqysq5a

The EVALITA Dependency Parsing Task: From 2007 to 2011 [chapter]

Cristina Bosco, Alessandro Mazzei
2013 Lecture Notes in Computer Science  
establish a reference forum for research on Computational Linguistics of the Italian community with contributions from a wide range of disciplines going from Computational Linguistics, Linguistics and  ...  EVALITA's shared tasks are aimed at contributing to the development and dissemination of natural language resources and technologies by proposing a shared context for training and evaluation.  ...  The National Council for Science and Technology (CONACyT-Mexico) has funded the research work of the first author (218109/313683 grant). and the it is not free from problems, it exhibits good classification  ... 
doi:10.1007/978-3-642-35828-9_1 fatcat:p6dyjaxm4zbitfajtciwclwipu

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research [article]

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
2020 arXiv   pre-print
We analyze the significant leaps responsible for its current relevance. Further, we attempt to chart a possible course for this field that covers many overlooked and unanswered questions.  ...  Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago.  ...  -A19E2b0098, Project name -K-EMERGE: Knowledge Extraction, Modelling, and Explainable Reasoning for General Expertise.  ... 
arXiv:2005.00357v5 fatcat:gjzglyhtvvc3xnuaeqjocbp57u

Sentiment Analysis and Opinion Mining [chapter]

Lei Zhang, Bing Liu
2017 Encyclopedia of Machine Learning and Data Mining  
In the continuum between the fully manual solution and the fully automated solution, as time goes by we can push more and more towards automation. I do not see a silver bullet solution soon.  ...  The extraction process uses a rule-based approach.  ... 
doi:10.1007/978-1-4899-7687-1_907 fatcat:iy5ty44cyzbrtodxfo7osy3iu4

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area.  ...  Acknowledgements This work was supported by funding from the Engineering and Physical Sciences Research Council (grant EP/I004327/1).  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

Corpus Creation and Transformer based Language Identification for Code-Mixed Indian Language

S Thara, Prabaharan Poornachandran
2021 IEEE Access  
The focus of this paper is to carry out a word-level language identification (WLLI) of Malayalam-English code-mixed data, from social media platforms like YouTube.  ...  Evaluation of the proffered approach, accomplished with other code-mixed language such as Hindi-English, notched a 9% increase in the F1-score.  ...  This ensues in a low misclassification rate for the tag, which contains a proportionately higher number of samples; hence, most of the test samples get misclassified to the majority tag.  ... 
doi:10.1109/access.2021.3104106 fatcat:5n4c3ih7ejaqhkztrct6juzvqq

International Research Conference on Smart Computing and Systems Engineering SCSE 2020 Proceedings [Full Conference Proceedings]

2020 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE)  
ACKNOWLEDGMENT The authors would like to thank the Department of Census and Department of Irrigation, Sri Lanka for providing the paddy yield and climate data for this study.  ...  ACKNOWLEDGMENT The authors would like to extend their heartfelt gratitude and acknowledgment to all the language experts, Sinhala teachers from different schools and especially, the Sinhala Department  ...  Sentiment analysis is an area of study within NLP for extracting sentiments from text via automated techniques.  ... 
doi:10.1109/scse49731.2020.9313027 fatcat:gjk5az2mprgvrpallwh6uhvlfi
« Previous Showing results 1 — 15 out of 65 results