Sentiment analysis

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Economy Overview Based on Twitter Sentiment Analysis DI SU TATIANA IVANOVA FATEMEH DAVARZAN MANOUCHEHR YOUSEFSIBDARI HITESH KUMAR

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Transcript of Sentiment analysis

Page 1: Sentiment analysis

Economy Overview Based on Twitter Sentiment Analysis

DI SU

TATIANA IVANOVA

FATEMEH DAVARZAN

MANOUCHEHR YOUSEFSIBDARI

HITESH KUMAR

Page 2: Sentiment analysis

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

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Methodology

Authorization

Extracting tweets

Cleaning tweets

Sentiment analysis

Visualization

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Authorization

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Extracting Tweets

Number of tweets

Russia 4,000 USA 4,000China 3,500Iran 3,000India 3,000Total 17,500

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Cleaning Tweets

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Sentiment Analysis

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VisualizationRussia

Emotional Classification

Code

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VisualizationRussia

Polarity Classification

Code

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Plot and Histogram Code

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VisualizationRussia

Plot Histogram

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VisualizationRussia

Word Cloud Code

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VisualizationChina

Emotional Classification Polarity Classification

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VisualizationChina

Plot Histogram

Word Cloud

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VisualizationUSA

Emotional Classification Polarity Classification

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VisualizationUSA

Plot Histogram

Word Cloud

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VisualizationIran

Emotional Classification Polarity Classification

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VisualizationIran

Plot Histogram

Word Cloud

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VisualizationIndia

Emotional Classification Polarity Classification

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VisualizationIndia

Plot Histogram

Word Cloud

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Economy General Overview2. Dataset

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Dataset Code

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Economy General Overview1. Word Cloud Comparison

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Word Cloud Comparison Code

Cleaning tweets

Visualization

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Future improvements

Text Mining Improvements

Cleaning for Word Cloud

Sentiment Analysis for Oil Price (Optional)


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