Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rahman, Shaomi, Hemel, Jonayed Nafis, Anta, Syed Junayed Ahmed, Al Muhee, Hossain
مؤلفون آخرون:	Uddin, Jia
التنسيق:	أطروحة
اللغة:	English
منشور في:	BRAC University 2018
الموضوعات:	Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/10163

مواد مشابهة

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Sentiment classification on Bengali food and restaurant reviews
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Stock Market Price movement prediction using RNN and Point-weight Sentiment
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Sentiment analysis on Bangladesh airlines review data using machine learning
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Social media sentiment study on COVID-19 outbreak
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منشور في: (2021)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
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Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
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Bitcoin price forecasting based on historical data
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