RPresentation

Project Objectives

• To enhance knowledge in R
• To develop exploratory analysis and visualization skills
• To relate and find relevance in Business Analytics Applications with R and Rshiny
• To build and deploy a shiny app

Project Overview

Sentiment analysis is used to obtain the sentiments from any piece of text.

• This web app takes a text file as an input to perform sentiment analysis
  
• Data is cleaned and then used for analysis
• Polarity is classified into Positive, Negative and Neutral
• Emotions are classified into Anger, Joy, Disgust, Fear, Surprise, Fear, Sad
• Wordcloud is displayed

Screenshots

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Analytics

This WebApp will perform Sentiment Analysis on each line of the Uploaded file

• Quantitative Analysis

• Count and Relative frequency of words and lines, Avg words/line

• Qualitative Analysis
• Polarity Analysis classifies into Positive, Negative, Neutral

• Emotions Analysis classifies into Anger, Disgust, Fear, Joy, Sadness, Surprise, Unknown

• Visual Analytics

• Histogram, Wordcloud

Meeting the Objectives

• Understanding the Sentiment analysis and its application
• Understanding how ShinyApp works
• Statistical, Qualitative and Visual analytics skills

Experience with R

• Interesting and Powerful Language
• Improved Logical and coding skills
• Value addition to the course of Research and Business Analytics