Twitter-Sentiment-Analysis

It is used to understand how the public feels about something at a particular moment in time and also track how those opinion change over time

Essential may analyze sentiment about:

• Product
• Service
• Competitors
• Reputation

Prerequisites

• Hadoop
• Hive
• Flume
• Java
• StopWord
• Affinn Dictionary
• Twitter App

Steps For Sentiment Analysis

• Load Data to Hive tables
• Filteration – remove URL links (e.g. http://example.com), Twitter user names (e.g. @alex – with symbol @ indicating a user name),
• Tokenization – Segment text by splitting it by spaces and punctuation marks, and form a bag of words.
• Removing stop words – we remove articles (“a”, “an”, “the”) from the bag of words.
• Comparing with Sentiword/Afinn Dictionary –we compare the articles with Dictionary to predict that the word is negative,positive or neutral.

TODO

• Add Visualization Tools.
• Make a Gui Version.
• Apply Machine Learning Techniques.

Look into the Readme folder to learn more about How to load and Analyse.