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Recruitment is one of the main areas that embraced social environments as a universal employment tool, and 92% of recruiters have confirmed its use as part of their employment process. Typical options, such as search engines, are quite limited in providing a fair deal, and therefore the aim of the paper is to show an innovative solution tailored to the Romanian HR sector advancing several Digital Intelligence Interaction (DII) tools developed using both cloud service frameworks and Natural Language Processing (NLP...

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 ...

Sentiment analysis for the French language remains an under-developed research area. At the same time, sentiment analysis works well for identifying conflictual discourses in English. Today, identifying sentiment in social networks and microblogs, including Twitter, is a growing area of studies, but despite French is one of the most popular post-colonial languages online, the studies of user sentiment in this language are still rare enough. Also, there are practically no studies that would link sentiment analysis ...