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Building and evaluating resources for sentiment analysis in the Greek language
2018
Language Resources and Evaluation
Preserved Fulltext
for the Greek language. ...
Although their effectiveness has been demonstrated in state-of-the-art sentiment analysis and related tasks in the English language, such publicly available resources are much less developed and evaluated ...
of Warwick's Centre for Doctoral Training in Urban Science and Progress. ...
doi:10.1007/s10579-018-9420-4
pmid:30930705
pmcid:PMC6411313
fatcat:y53vru5wrzdqbmil7p4dr7gy74
Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages
[article]
2020
arXiv
pre-print
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Due to the differences in terms of availability of language resources for each language, we have built this strategy in three steps, starting with processing chains for the well-resourced languages and ...
In order to classify all European Union official languages in terms of resources, we have analysed the size of annotated corpora as well as the existence of pre-trained models in mainstream Language Processing ...
Sentiment Analysis Unlike the other tasks defined in the LPC's, there exist no open-source tools that handle multilingual sentiment analysis for under-resourced languages. ...
arXiv:2010.12433v1
fatcat:cowt73oidzcjncwn2ty5xfsrwm
Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin
2020
Zenodo
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Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages. ...
Lexicons for ancient languages are few and not evaluated with high-quality gold standards. ...
Accordingly, the texts which are most frequently analysed with sentiment analysis tools, and included in linguistic resources for sentiment analysis, are the kind of tweets, comments, feed-backs and social ...
doi:10.5281/zenodo.3830350
fatcat:vsx7bnqqkfhm3nrwapbuykiyza
Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin
2020
Zenodo
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Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages. ...
Lexicons for ancient languages are few and not evaluated with high-quality gold standards. ...
Accordingly, the texts which are most frequently analysed with sentiment analysis tools, and included in linguistic resources for sentiment analysis, are the kind of tweets, comments, feed-backs and social ...
doi:10.5281/zenodo.3830351
fatcat:g6eh2hqfffe4bate6llxx5wcgm
A Novel, Gradient Boosting Framework for Sentiment Analysis in Languages where NLP Resources Are Not Plentiful: A Case Study for Modern Greek
2017
Algorithms
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The present paper focuses on sentiment analysis applied in Greek texts. Thus far, there is no wide availability of natural language processing tools for Modern Greek. ...
Sentiment analysis has played a primary role in text classification. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/a10010034
fatcat:tbg2dy5pdzhg3g5egkxkbnx2ga
The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications
2021
Data
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challenges and the potential for future research in the specific less widely spoken language. ...
Mining social web text has been at the heart of the Natural Language Processing and Data Mining research community in the last 15 years. ...
in the Greek language. ...
doi:10.3390/data6050052
fatcat:oq2ghdzpajb45a4cxk7n3ytuwe
Analysing the Greek Parliament Records with Emotion Classification
[article]
2022
arXiv
pre-print
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In this project, we tackle emotion classification for the Greek language, presenting and releasing a new dataset in Greek. ...
We fine-tune and assess Transformer-based masked language models that were pre-trained on monolingual and multilingual resources, and we present the results per emotion and by aggregating at the sentiment ...
Emotion detection for the Greek language Although there are a few published studies focusing on sentiment analysis in Greek (Markopoulos et al., 2015; Athanasiou and Maragoudakis, 2017) , limited published ...
arXiv:2205.12012v1
fatcat:ccwoowwlrja7jbhx4zqmfwgcoa
Linguistically motivated Language Resources for Sentiment Analysis
2014
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing
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Computational approaches to sentiment analysis focus on the identification, extraction, summarization and visualization of emotion and opinion expressed in texts. ...
for a number of Natural Language Processing applications beyond mere syntactic parsing. ...
Acknowledgments The research within the project LangTERRA: Enhancing the Research Potential of ILSP/"Athena" R.C. in Language Technology in the European Research ERA leading to these results has received ...
doi:10.3115/v1/w14-5806
dblp:conf/coling/GiouliF14
fatcat:2wlzm5f3qrf3lfs4ybhh35dsq4
A Comparative Study of Machine Translation for Multilingual Sentence-level Sentiment Analysis
2019
Information Sciences
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To do it, we evaluated sixteen methods for sentence-level sentiment analysis proposed for English, comparing them with three language-specific methods. ...
Sentiment analysis has become a key tool for several social media applications, including analysis of user's opinions about products and services, support for politics during campaigns and even for market ...
An evaluation of machine translation for multilingual sentence-level sentiment analysis. In ACM Symposium on Applied Computing. Arora, P. (2013). Sentiment Analysis for Hindi Language. ...
doi:10.1016/j.ins.2019.10.031
fatcat:tle7kqohzrgdji54qpgsqi2b5i
D6.1 - Methodologies and tools for big data analysis via text mining and geo-social characterization, aiming to opinion extraction, trend detection and predictive analysis
2019
Zenodo
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Deliverable D6.1 describes CUTLER's approach for the analysis of the social impact of public administration policies related to the water element in waterfront cities. ...
The analytics process will apply text mining, spatio-temporal analysis, and sentiment analysis methods to induce relevant knowledge about social behavior, trends, and opinion. ...
As a result, the presented methodology forms a strong basis for sentiment analysis of Greek text in CUTLER and also allows for further improvements by further enriching and refining the available resources ...
doi:10.5281/zenodo.3386016
fatcat:2jnhdtvgsjd6bltqf2kxp577e4
An overview of NexusLinguarum use cases: Current status and challenges
2021
Zenodo
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Working Group 4 (WG4) of the NexusLinguarum COST Action – European network for Web-centred linguistic data science (CA18209) – is dedicated to applying and validating the Action's methodologies and technologies ...
In addition, it describes the cooperation with the other WGs of NexusLinguarum. URL: https://lexicala.com/review/2021/an-overview-of-nexuslinguarum-use-cases-current-status-and-challenges/ ...
Acknowledgement The use case is based on the project "Bilingual automatic terminology extraction" funded by the Research Council of Lithuania (LMTLT, agreement No. P-MIP-20-282). ...
doi:10.5281/zenodo.5729078
fatcat:t3z3chvtmjbofdyk72wxzofmku
Sentiment Analysis of Latin Poetry: First Experiments on the Odes of Horace
2021
Zenodo
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In this paper we present a set of annotated data and the results of a number of unsupervised experiments for the analysis of sentiment in Latin poetry. ...
Then, we report on how this gold standard has been used to evaluate two automatic approaches for sentiment classification: one is lexicon-based and the other adopts a zero-shot transfer approach. ...
Acknowledgments This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme -Grant Agreement No. 769994. ...
doi:10.5281/zenodo.5773791
fatcat:kmlwu3wttbdrtjnfuxlaybxfda
Evaluating Word Embeddings with Categorical Modularity
[article]
2021
arXiv
pre-print
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We find moderate to strong positive correlations between categorical modularity and performance on the monolingual tasks of sentiment analysis and word similarity calculation and on the cross-lingual task ...
We introduce categorical modularity, a novel low-resource intrinsic metric to evaluate word embedding quality. ...
Sentiment Analysis We first test our modularity scores through correlations with performance on the binary classification task of sentiment analysis, where the input is a movie review and the output is ...
arXiv:2106.00877v1
fatcat:smbx5ohvevcm3br6lkmgfjsbsm
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification
[article]
2021
arXiv
pre-print
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In this paper we present our submission for the EACL 2021-Shared Task on Offensive Language Identification in Dravidian languages. ...
Our system was ranked 1st for Kannada, 2nd for Malayalam and 3rd for Tamil. ...
European Language Resources Association. sentiment analysis dataset for code-mixed Malayalam-English. ...
arXiv:2102.01051v2
fatcat:mlz4c4r2mjen3hsfs43vqkwkru
(Mis)understanding Memoranda of Understanding
2013
Procedia - Social and Behavioral Sciences
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It is part of the research activities (building lexical resources and tools for Greek language) of the Laboratory of Translation and Language Processing, Aristotle University of Thessaloniki, in collaboration ...
This research reports on a corpus-based analysis of Memoranda of Understanding (MoU), the financial agreements between Greece and the Troika. ...
It is an input in the research activities (building lexical resources and tools for Greek language) of the Laboratory of Translation and Language Processin Gaspard-Monge, Université Paris-Est Marne-la-Vallée ...
doi:10.1016/j.sbspro.2013.10.693
fatcat:mphdyfoykzctvhi6np3kzdiuam
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