[HTML][HTML] A systematic literature review of Arabic dialect sentiment analysis
Sentiment analysis is the process of using natural language processing, computational
linguistics, and other text analysis techniques to identify and extract subjective information in …
linguistics, and other text analysis techniques to identify and extract subjective information in …
NADI 2022: The third nuanced Arabic dialect identification shared task
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …
An unsupervised annotation of Arabic texts using multi-label topic modeling and genetic algorithm
HA Almuzaini, AM Azmi - Expert Systems with Applications, 2022 - Elsevier
Every day the world produces an enormous amount of textual data. This unstructured text is
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …
[PDF][PDF] Analisis Klasifikasi Sentimen Pengguna Media Sosial Twitter Terhadap Pengadaan Vaksin COVID-19
MI Aditama, RI Pratama, KH Wiwaha… - Journal Information …, 2020 - scholar.archive.org
Analisis Klasifikasi Sentimen Pengguna Media Sosial Twitter Terhadap Pengadaan Vaksin
COVID-19 Page 1 JIEET: Volume 04 Nomor 02, 2020 (Journal Information Engineering and …
COVID-19 Page 1 JIEET: Volume 04 Nomor 02, 2020 (Journal Information Engineering and …
Arabic language opinion mining based on long short-term memory (LSTM)
Arabic is one of the official languages recognized by the United Nations (UN) and is widely
used in the middle east, and parts of Asia, Africa, and other countries. Social media activity …
used in the middle east, and parts of Asia, Africa, and other countries. Social media activity …
Sentiment analysis of Algerian dialect using machine learning and deep learning with Word2vec
In this paper, we deal with the issue of sentiment analysis on dialectal comments extracted
from social media. These comments concern the Algerian spoken language, written in …
from social media. These comments concern the Algerian spoken language, written in …
Word embeddings and deep learning for location prediction: tracking Coronavirus from British and American tweets
S Hasni, S Faiz - Social Network Analysis and Mining, 2021 - Springer
With the propagation of the Coronavirus pandemic, current trends on determining its
individual and societal impacts become increasingly important. Recent researches grant …
individual and societal impacts become increasingly important. Recent researches grant …
[HTML][HTML] Advancing AI-Driven Linguistic Analysis: Developing and Annotating Comprehensive Arabic Dialect Corpora for Gulf Countries and Saudi Arabia
This study harnesses the linguistic diversity of Arabic dialects to create two expansive
corpora from X (formerly Twitter). The Gulf Arabic Corpus (GAC-6) includes around 1.7 …
corpora from X (formerly Twitter). The Gulf Arabic Corpus (GAC-6) includes around 1.7 …
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/French and English
In this paper, an approach for hate speech detection against women in Arabic community on
social media (eg Youtube) is proposed. In the literature, similar works have been presented …
social media (eg Youtube) is proposed. In the literature, similar works have been presented …
Resource creation for opinion mining: a case study with Marathi movie reviews
With rapid growth in user generated contents on the Web, various NLP research areas are
emerging to utilize this information in ways that will facilitate users to manipulate the data …
emerging to utilize this information in ways that will facilitate users to manipulate the data …