Predicting Stock Price Movements on the Qatar Stock Exchange Using Twitter Sentiment and Machine Learning Models

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The advancement of artificial intelligence (AI) along with machine learning (ML) systems is transforming the financial markets in distinctive and novel ways. This thesis demonstrates conclusively that Twitter sentiment analysis can be used to predict stock price movements in the Qatar Stock Exchange (QSE). The detailed analysis of the QSE companies' tweets necessitates the application of NLP (natural language processing) techniques that sentiment score and correlate those scores with stock market data. Moreover, a machine learning sentiment analysis model is constructed to predict short-term price movements with social media sentiment data. This analysis contributes significantly to the literature of financial sentiment analysis, emphasizing how social discourse affects market movement. Undoubtedly, the results from this research will assist investors, decision-makers, and financial market experts in emerging economies.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0045840c-ef9f-4863-9601-c893a6fe5df5

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

0045840c-ef9f-4863-9601-c893a6fe5df5_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Abdulaziz Khalifa H. A. Al-Naimi","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Yin Yang","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Predicting Stock Price Movements on the Qatar Stock Exchange Using Twitter Sentiment and Machine Learning Models

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Machine learning systems - Qatar Stock Exchange - Financial market experts - Financial sentiment analysis

إشراف وإعداد

الإشراف

Yin Yang

الإعداد

Abdulaziz Khalifa H. A. Al-Naimi

الاقتباسات الببليوغرافية