Sentiment Analysis on English Financial News
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 19
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شناسه ملی سند علمی:
JR_RALS-10-0_052
تاریخ نمایه سازی: 17 اردیبهشت 1403
چکیده مقاله:
This article is devoted to comparison of various approaches towards sentiment analysis (polarity classification) of the English financial news. The purpose of the work is to check, weather higher quality English texts would have higher classification quality and the links between quality of polarity classification and the architectures of the chosen systems. The approaches, presented on SemEval-۲۰۱۷ competition in the appropriate category of tasks, are taken as the basis. A specially collected dataset is used as the source of English financial news. In the end, a conclusion is made about the relationship between the quality of the source of English financial news and the quality of the news data sentiment analysis, made by the compared systems.
کلیدواژه ها:
نویسندگان
Guzel Rinatovna Eremeeva
Kazan Federal University
Ekaterina Vladimirovna Martynova
Kazan Federal University
Amina Aidarovna Khakimova
Kazan Federal University
Liliya Ernstovna Ilikova
Kazan Federal University