Sentiment Analysis

Presented by -

Shivangi Desai & Sonia Mathew

PGDM Research & Business Analytics

• To enhance my knowledge of R and develop Exploratory Analysis & Visualization skills.
• To review the learnings of Business Analytics Using R.
• To understand how sentiment analysis can be applied to large data set.
• To understand shinyapp and its application to various sets of information in real time.

• Sentiment Analysis is the process of determining whether a text of writing is positive, negative or neutral in meaning.
• This web app analyses the Sentiments in the text inputted by the user.
• It is done by measuring the emotions and polarity.

Analytics Performed

• Quantitative Analysis:
  Displays the Word Count, Line Count, Average Words per Line, Polarity Count and Emotion Count
• Sentiment Analysis:
  Classifies into Positive, Negative and Neutral as per polarity Classifies into Anger, Disgust, Fear, Joy, Sadness, Surprise, Unknown as per emotions
• Visual Analysis:
  Displays Polarity count and Emotion count Histograms, significant words alongwith WordCloud

Meeting our Objectives

• Our primary objective of enhancing our knowledge of understanding big data has been met successfully.
• Getting a hands-on experience with R programming & also helped us develop our exploratory analysis & visualization skills
• The objective to understand shinyapp and its application to various sets of information has also been met.

Our Experience with R

• The experience of learning R for us was nothing less than riding on a roller coaster ride.The anxiety, fear of learning a new programming language.
• But session by session and timely practise kept us engrossed with the subject as each session we learnt something new.
• It helped us build up our confidence as we could now get a better undertanding of how analytics works and all that run around data is not as easy as it looks.
• Also when you get the trained by an ace professor who knows your strengths and weakness and always there when your in need.