Sentiment analysis using machine learning / Zakaria Rachedi  

Public ISBD Titre : Sentiment analysis using machine learning Type de document : texte imprimé Auteurs : Zakaria Rachedi, Auteur ; Mohamed Ali Badreddine ; mohamed Chafia Kara, Directeur de thèse Editeur : Sétif:UFS Année de publication : 2023 Importance : 1 vol (54 f.) Format : 29 cm Langues : Anglais (eng) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé : In our real world there are a lot of languages that are used for communication nowadays and for each language there are also many dialects. An important subfield of Artificial Intelligence is Machine learning ML. Natural Language Processing is the part that deals with natural languages automatically. The most of works and researches that are being conducted generally are implicated with English, but not so much with Arabic language. In our work, we use different machine learning algorithms to classify, based on the sentiment expressed, comments from different Arabic dialects which we have taken from social media (mainly Facebook and twitter). In our work we have built classification models and evaluated them with metrics (accuracy, F1score, recall, precision, ROC curve). Then we tested the P a g e 3 | 54 performance of the models with one dialect and wth the mixed dialects. Côte titre : MAI/0811 En ligne : https://drive.google.com/file/d/1GIyyNPk_I2TfeIS31RK0eeTFaDQvRmub/view?usp=drive [...] Format de la ressource électronique : pdf Sentiment analysis using machine learning [texte imprimé] / Zakaria Rachedi, Auteur ; Mohamed Ali Badreddine ; mohamed Chafia Kara, Directeur de thèse . - [S.l.] : Sétif:UFS, 2023 . - 1 vol (54 f.) ; 29 cm. Langues : Anglais (eng) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé : In our real world there are a lot of languages that are used for communication nowadays and for each language there are also many dialects. An important subfield of Artificial Intelligence is Machine learning ML. Natural Language Processing is the part that deals with natural languages automatically. The most of works and researches that are being conducted generally are implicated with English, but not so much with Arabic language. In our work, we use different machine learning algorithms to classify, based on the sentiment expressed, comments from different Arabic dialects which we have taken from social media (mainly Facebook and twitter). In our work we have built classification models and evaluated them with metrics (accuracy, F1score, recall, precision, ROC curve). Then we tested the P a g e 3 | 54 performance of the models with one dialect and wth the mixed dialects. Côte titre : MAI/0811 En ligne : https://drive.google.com/file/d/1GIyyNPk_I2TfeIS31RK0eeTFaDQvRmub/view?usp=drive [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0811	MAI/0811	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

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