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
- Hadoop
- Hive
- Flume
- Java
- StopWord
- Affinn Dictionary
- Twitter App
- 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.
- 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.