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Sentiment Analysis on Financial News and Microblogs
Başlık:
Sentiment Analysis on Financial News and Microblogs
Yazar:
Talekar, Chinmay, author.
ISBN:
9780438012561
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (73 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Julia Rayz Committee members: John Springer; Baijian Yang.
Özet:
Sentiment analysis is useful for multiple tasks including customer satisfaction metrics, identifying market trends for any industry or products, analyzing reviews from social media comments. This thesis highlights the importance of sentiment analysis, provides a summary of seminal works and different approaches towards sentiment analysis. It aims to address sentiment analysis on financial news and microblogs by classifying textual data from financial news and microblogs as positive or negative. Sentiment analysis is performed by making use of paragraph vectors and logistic regression in this thesis and it aims to compare it with previously performed approaches to performing analysis and help researchers in this field. This approach achieves state of the art results for the dataset used in this research. It also presents an insightful analysis of the results of this approach.
Notlar:
School code: 0183
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(691289.1) | 691289-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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