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Market Idea
Consider, we have a client who wants to increase their sales and
target its customers with promotional offers. We would provide
them with twitter analytics to find 10 most influential people
within a range that can influence the target customers.
Tools Used
Data Extraction and Visualization
Data Extraction and Visualization
Data Extraction and Visualization
Pre-processing
Visualizations
Cluster Dendogram
Influential Users
Sentimental Analysis
Machine Learning
• Experimenting Twitter based Sentimental
Analysis
• A lexicon based approach has high precision
but low coverage
• A data-driven machine learning approach
• Learns from a corpus of annotated tweets
Step 1: Collect data
Step 2: Preprocessing text data in R
Step 3: Feature hashing and Filtered based feature selection
Step 4: Split the data into train and test
Step 5: Train model for prediction
Step 6: Evaluate model performance
Machine Learning Steps
Boosting Decision Tree
Logistic Regression
Support Vector Machine
Validation Score
Top Influential People
Followers vs Status Count
vs
Retweet Analysis
Implementation Using
Amazon Cloud
Formation Stack
Amazon EMR
Clusters
Mapper in
Python
Master Slave
Reduce
Output
Implementation Using
OUTPUT:
Power of Sentiments
Power of Sentiments
#ThankYou

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Final_Project