Economy Overview Based on Twitter Sentiment Analysis DI SU TATIANA IVANOVA FATEMEH DAVARZAN MANOUCHEHR YOUSEFSIBDARI HITESH KUMAR
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Economy Overview Based on Twitter Sentiment Analysis
DI SU
TATIANA IVANOVA
FATEMEH DAVARZAN
MANOUCHEHR YOUSEFSIBDARI
HITESH KUMAR
Introduction
• Goals:
1. Define financial topic for research
2. Analyze data from Twitter
3. Design a report, that contain relevant financial information for a story in a condensed format
Methodology
Authorization
Extracting tweets
Cleaning tweets
Sentiment analysis
Visualization
Authorization
Extracting Tweets
Number of tweets
Russia 4,000 USA 4,000China 3,500Iran 3,000India 3,000Total 17,500
Cleaning Tweets
Sentiment Analysis
VisualizationRussia
Emotional Classification
Code
VisualizationRussia
Polarity Classification
Code
Plot and Histogram Code
VisualizationRussia
Plot Histogram
VisualizationRussia
Word Cloud Code
VisualizationChina
Emotional Classification Polarity Classification
VisualizationChina
Plot Histogram
Word Cloud
VisualizationUSA
Emotional Classification Polarity Classification
VisualizationUSA
Plot Histogram
Word Cloud
VisualizationIran
Emotional Classification Polarity Classification
VisualizationIran
Plot Histogram
Word Cloud
VisualizationIndia
Emotional Classification Polarity Classification
VisualizationIndia
Plot Histogram
Word Cloud
Economy General Overview2. Dataset
Dataset Code
Economy General Overview1. Word Cloud Comparison
Word Cloud Comparison Code
Cleaning tweets
Visualization
Future improvements
Text Mining Improvements
Cleaning for Word Cloud
Sentiment Analysis for Oil Price (Optional)
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