Predicting Stock Movement using Sentiment Analysis of Twitter Feed

被引：0

作者：

Chakraborty, Pranjal ^{[1
]}

Pria, Ummay Sani ^{[1
]}

Rony, Md Rashad Al Hasan ^{[1
]}

Majumdar, Mahbub Alam ^{[1
]}

机构：

[1] BRAC Univ, Dept Comp Sci & Engn, 66 Mohakhali, Dhaka, Bangladesh

来源：

2017 6TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS AND VISION & 2017 7TH INTERNATIONAL SYMPOSIUM IN COMPUTATIONAL MEDICAL AND HEALTH TECHNOLOGY (ICIEV-ISCMHT) | 2017年

关键词：

Tweets; Sentiment analysis; Decision tree; Opinion mining; Machine Learning; Random forest; Boosted tree; Support Vector Machine (SVM);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Collecting data from social networking sites is a popular way of opinion mining. These opinions show the sentimental state of a large number of people. In this paper, we have shown how much we can predict stock movement from twitter's tweets sentiment analysis. Our work is done on one year's (2016) data of tweets that contained 'stock market', 'stocktwits', 'AAPL' keywords. `AAPL' related tweets were used to see if these tweets can predict the company's stock indices whereas 'stock market', 'stocktwits' related tweets for predicting the stock market movement of US. Since we are predicting the stock values, we used Boosted Regression Tree model for this purpose.

引用

页数：6

共 50 条

[1] Predicting Stock Market Movement Based on Twitter Data and News Articles Using Sentiment Analysis and Fuzzy Logic
Pal, Roshni
Pawar, Utkarsha
Zambare, Karishma
Hole, Varsha
SECOND INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS AND COMMUNICATION TECHNOLOGIES, ICCNCT 2019, 2020, 44 : 561 - 571
[2] Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana
Nti, Isaac Kofi
Adekoya, Adebayo Felix
Weyori, Benjamin Asubam
APPLIED COMPUTER SYSTEMS, 2020, 25 (01) : 33 - 42
[3] Sentiment Analysis of Unstructured Data Using Spark for Predicting Stock Market Price Movement
Darji, Miss Dhara N.
Parikh, Satyen M.
Patel, Hiral R.
INVENTIVE COMPUTATION AND INFORMATION TECHNOLOGIES, ICICIT 2021, 2022, 336 : 521 - 530
[4] Sentiment Analysis on Official News Accounts of Twitter Media in Predicting Facebook Stock
Jessica
Oetama, Raymond Sunardi
PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA 2019), 2019, : 74 - 79
[5] Saudi Stock Market Sentiment Analysis using Twitter Data
Alazba, Amal
Alturayeif, Nora
Alturaief, Nouf
Alhathloul, Zainab
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KDIR), VOL 1, 2020, : 36 - 47
[6] Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values
Pai, Ping-Feng
Liu, Chia-Hsin
IEEE ACCESS, 2018, 6 : 57655 - 57662
[7] Stock Prediction Using Sentiment Analysis in Twitter for Day Trader
Roslan, Muhammad Aiman Asraf
Rahiman, Mohd Hezri Fazalul
2018 9TH IEEE CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC2018), 2018, : 177 - 182
[8] Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN
Sahana, T. P.
Anuradha, J.
INTELLIGENT COMPUTING, INFORMATION AND CONTROL SYSTEMS, ICICCS 2019, 2020, 1039 : 38 - 45
[9] ANALYZING COMPANY'S STOCK PRICE MOVEMENT USING PUBLIC SENTIMENT IN TWITTER DATA
Thirugnanam, Mythili
Patel, Smit
Vyas, Prakhar
Thirugnanam, Tamizharasi
IIOAB JOURNAL, 2016, 7 : 127 - 136
[10] Predicting wins and spread in the Premier League using a sentiment analysis of twitter
Schumaker, Robert P.
Jarmoszko, A. Tomasz
Labedz, Chester S., Jr.
DECISION SUPPORT SYSTEMS, 2016, 88 : 76 - 84

← 1 2 3 4 5 →