Objective
To understand and diagnose all the politics, elections and government related social media activity and content since last elections.
Tracking social media activity on an ongoing basis.
Sentiment Analysis & How does it help
Potential voters post large volumes of textual comments reflecting their opinion in different aspect of life and make them available to everyone.
Sentiment Analysis is the automated mining of attitudes, opinions, and emotions from text, speech, and database sources. Sentiment analysis involves classifying opinions in text into categories like “positive” or “negative” or “neutral”
The idea is to understand what’s most topical so that one can react/ do course corrections on a real time basis
Source of data
Social chatter on publicly accessible sources would be Twitter / Facebook / Local groups / Newspaper sites etc. (We will need to restrict this to about 10 key sources)
Deliverable
A self use tool that allows for
- 24/7 access to Influencer, Engagement and Content trend
- Setting of premium filters for segmenting such as Party, Demographics and Interests
- Automated profiles for every member with constant updates
