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Könyv Arabic Opinion Mining Asmaa Mountassir

Arabic Opinion Mining

Addressing the problems of Unbalanced Datasets and Huge Dimensionality

Szerző: Asmaa Mountassir
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Noor Publishing
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
22 361 Ft
Opinion Mining is a research area that aims to the analysis of people's opinions towards entities, i...

Információk a könyvről

Szerző
Asmaa Mountassir
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2017
oldal
176
EAN
9783330969087
Enbook ID
16499588
Kiadó
Noor Publishing
Súly
280
Méretek
150 x 220 x 11

Teljes leírás

Opinion Mining is a research area that aims to the analysis of people's opinions towards entities, individuals, events, topics and their properties. The task is technically challenging and practically very useful. For example, businesses are always interested in consumer opinions about their products and services. Also, consumers themselves are interested in the opinions of other users to make purchase decisions. Opinion Mining involves several tasks where the most interesting one is Sentiment Classification, which consists in classifying opinionated texts as either positive or negative. Though the Arabic language is an important language, it has not gained enough attention from the research community of opinion mining given its lack in web content and its challenging processing. In this thesis, we focus on the classification of Arabic opinions by the use of supervised learning techniques. Though text classification is a mature area, some challenges remain to be addressed like the problems of huge dimensionality and unbalanced data sets, which are further accentuated when applied on opinions. In this thesis, we aim to give some research solution to these problems.

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