Types of Approaches, Applications and Challenges in theDevelopment of Sentiment Analysis Systems
عنوان مقاله: Types of Approaches, Applications and Challenges in theDevelopment of Sentiment Analysis Systems
شناسه ملی مقاله: EECMAI02_017
منتشر شده در دومین کنفرانس بین المللی مهندسی برق، کامپیوتر، مکانیک و هوش مصنوعی در سال 1401
شناسه ملی مقاله: EECMAI02_017
منتشر شده در دومین کنفرانس بین المللی مهندسی برق، کامپیوتر، مکانیک و هوش مصنوعی در سال 1401
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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.
کلمات کلیدی: Sentiment analysis, natural language processing, opinion mining,machine learning, dataset
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1568025/