1 |
A Sentiment analysis approach for Arabic dialects texts analysis based on automatic translation: Application to the Algerian dialect. ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
|
|
|
|
BASE
|
|
Show details
|
|
7 |
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
|
|
|
|
Abstract:
The file attached to this record is the author's final peer reviewed version. ; A corpus-based sentiment analysis approach for messages written in Arabic and its dialects is presented and implemented. The originality of this approach resides in the automation construction of the annotated sentiment corpus, which relies mainly on a sentiment lexicon that is also constructed automatically. For the classification step, shallow and deep classifiers are used with features being extracted applying word embedding models. For the validation of the constructed corpus, we proceed with a manual reviewing and it was found that 85.17% were correctly annotated. This approach is applied on the under-resourced Algerian dialect and the approach is tested on two external test corpora presented in the literature. The obtained results are very encouraging with an F1-score that is up to 88% (on the first test corpus) and up to 81% (on the second test corpus). These results respectively represent a 20% and a 6% improvement, respectively, when compared with existing work in the research literature.
|
|
Keyword:
Arabic and its dialects; Arabic sentiment analysis; Automatic resources construction; document embedding; shallow/deep classification; word embedding
|
|
URL: https://doi.org/10.1007/s13278-020-00688-x https://dora.dmu.ac.uk/handle/2086/20047
|
|
BASE
|
|
Hide details
|
|
8 |
Approche Hybride pour la translitération de l’arabizi algérien : une étude préliminaire
|
|
|
|
In: 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01837234 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), May 2018, Rennes, France (2018)
|
|
BASE
|
|
Show details
|
|
9 |
Hybrid approach for transliteration of Algerian arabizi: a primary study ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis
|
|
|
|
BASE
|
|
Show details
|
|
11 |
SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Comparison between Neural and Statistical translation after transliteration of Algerian Arabic Dialect
|
|
|
|
In: WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017) ; https://hal.archives-ouvertes.fr/hal-01570298 ; WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017), Jul 2017, Vancouver, Canada ; http://www.winlp.org/winlp-workshop (2017)
|
|
BASE
|
|
Show details
|
|
|
|