Types of Approaches, Applications and Challenges in theDevelopment of Sentiment Analysis Systems
Publish place: The second international conference on electrical, computer, mechanical and artificial intelligence engineering
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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این Paper در بخشهای موضوعی زیر دسته بندی شده است:
- هوش مصنوعی > یادگیری ماشین
- هوش مصنوعی > پردازش زبان طبیعی
- هوش مصنوعی > نظرکاوی
- هوش مصنوعی > تحلیل احساس
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
EECMAI02_017
تاریخ نمایه سازی: 22 آذر 1401
Abstract:
Today, the web has become a mandatory platform to express users'opinions, emotions and feelings about various events. Every personusing his smartphone can give his opinion about the purchase of aproduct, the occurrence of an accident, the occurrence of a new disease,etc. in blogs and social networks such as (Twitter, WhatsApp, Telegramand Instagram) register. Therefore, millions of comments are recordeddaily and it creates a huge volume of unstructured text data that canextract useful knowledge from this type of data by using naturallanguage processing methods. Sentiment analysis is one of theimportant applications of natural language processing and machinelearning, which allows us to analyze the sentiments of comments andother textual information recorded by web users. Therefore, the analysisof sentiments, approaches and challenges in this field will be explainedin the following.
Keywords:
Authors
Elnaz Rezaei Ehsan
Master's degree, industrial engineering, system management and productivity, Iran University ofScience and Technology
Kazem Taghandiki
Department of Computer Engineering, Technical and Vocational University, Tehran, Iran