Scholarly record
SENTIMENT ANALYSIS IN ARABIC: LINGUISTIC ISSUES
Abstract
The paper deals with the linguistic peculiarities of sentiment analysis of documents in Arabic. Automatic definition of emotive component in a large corpus is highly relevant today. At the same time, the theory of emotions in linguistics has not been sufficiently developed yet, therefore there is an urgent need to improve the computer methods of sentiment analysis for carrying out sociolinguistic research. In the framework of this study, we try to determine the patterns inherent in the Arabic language, which must be taken into account when conducting Big Data processing. To implement this task, we used the high-frequency word list, developed on the basis of processing of the texts with a volume of 1 million uses. After that, 1000 units were analyzed within the one-dimensional emotional space ("positive" - "negative"). As a result it was determined that percentage of emotional vocabulary towards neutral is about 18%; the most representative part of speech in the emotive dictionary is the verb (34%), in approximately equal proportion nouns and verbal nouns (masdars) are represented - 24-25% respectively, while adjectives constitutes only 16%. It is often difficult to identify a particular sentiment, as its characteristic depends on the context (for example such words as "discipline" can be used in a variety of contexts, as well as the verb "to happen"). The third part of the analyzed emotive vocabulary has a negative characteristic (two-thirds - positive). The most often, “positive vocabulary” is expressed by adjectives. These conclusions may be useful for linguistic research in general, and for the development of automated data processing technologies, in particular.
Publication Impact Profile
Publication details
ReferencesPending
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.