Sanitized Narrated Gubernatorial Race Initial Findings Overview

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Presentation Description

Overview of Political Campaign Sentiment Analysis Findings

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Presentation Transcript

Agenda : 

Agenda

Agenda : 

Agenda Sentiment360 – Overview 2010 State Gubernatorial Race Background 2010 State Gubernatorial Race Objectives & Methodology Automated Sentiment Analysis vs. Human Analysis 2010 State Gubernatorial Race Buzz Initial Findings

Our Mission …. : 

Our Mission ….

Better Intelligence – Wider Reach : 

Better Intelligence – Wider Reach

Better Intelligence – Deeper Precision : 

Better Intelligence – Deeper Precision Optimized Solution: People – Process – Technology People Trained as Analysts who Overcome current technology short-comings Methodical Process Eliminate irrelevant, inaccurate results Translate relevant results into investible insights Technology Radian6, Scout Labs, Biz360 Proprietary Semantic based trending platform

Slide 6: 

Sentiment360 – How We Work

Background : 

Background

Slide 8: 

The 2010 State Gubernatorial Race is scheduled to take place on November 2nd, 2010. With the incumbent Governor unable to seek re-election due to term limits. Republican and Democratic Primary elections were held on June 1st, 2010. Background

Slide 9: 

2010 State Gubernatorial candidate, the Opposition, was previously elected to the State State House of Representatives. He has served on the various Committees and has been a member of the County Legislative Delegation. His campaign theme is “Putting State Residents Back to Work.” Background – The Opposition

Slide 10: 

2010 State Gubernatorial candidate was elected to a state position in 2002. After being re-elected in 2006, Subscriber Candidate received praise for his favorable handling of a many issues occurring within the State. His gubernatorial campaign platform is focused on raising money for education. Background – Subscriber Candidate

ObjectivesandMethodology : 

ObjectivesandMethodology

Objectives : 

Objectives Provide an initial snapshot on the following 2010 State Gubernatorial Race points: Identify general buzz surrounding 2010 State Gubernatorial Race. Benchmark Sentiment towards 2010 State Gubernatorial Race candidates: the Opposition (Rep) and Subscriber Candidate (Democrat).

Methodology : 

Methodology SCOPE Gather comprehensive list of online conversations about the 2010 State Gubernatorial Race collected via Blogs, video sites, image sites, mainstream news, blog comments, forums, social networking sites (Facebook) and micro blogs (Twitter, FriendFeed) are covered. DATE RANGE Conversations that occurred between July 25 – August 24, 2010 were captured.

2010 State Gubernatorial Race Buzz by Media Type : 

2010 State Gubernatorial Race Buzz by Media Type Buzz generated by the 2010 State Gubernatorial Race was found mostly in Blogs, followed by Social Networking Sites.

Automated vs. Human Analyzed Sentiment : 

Automated vs. Human Analyzed Sentiment Human analysis of conversation sentiment has distinct advantages over automated analysis.

Initial Findings : 

Initial Findings

2010 State Gubernatorial Race Buzz in Blogs : 

2010 State Gubernatorial Race Buzz in Blogs Most Buzz was General Info oriented where the person posting gave election poll analyses and opinions on election results.

2010 State Gubernatorial Race in Social Networking Sites : 

2010 State Gubernatorial Race in Social Networking Sites General Info Buzz in Social Networking Sites mostly consisted of conversations containing candidate interview and appearance schedules.

Opposition : 

Opposition

Opposition Buzz by Media Type : 

Opposition Buzz by Media Type Conversations on the Opposition were mostly found in Blogs, Micro Blogs and Social Networking sites.

Sentiment Analysis – Opposition : 

Sentiment Analysis – Opposition Human analysis of conversation sentiment has distinct advantages over automated analysis.

Sentiment Towards Topic – Opposition : 

Sentiment Towards Topic – Opposition N=603

Subscriber Candidate : 

Subscriber Candidate

Subscriber Candidate Buzz by Media Type : 

Subscriber Candidate Buzz by Media Type Conversations on Subscriber Candidate were mostly found in Blogs and Social Networking Sites.

Sentiment Analysis – Subscriber Candidate : 

Sentiment Analysis – Subscriber Candidate Human analysis of conversation sentiment has distinct advantages over automated analysis.

Conversation Dynamics by Topic – Subscriber Candidate : 

Conversation Dynamics by Topic – Subscriber Candidate N=407 Buzz with Criticism towards Subscriber Candidate highlights opinions regarding his minimal chances of winning the election.

The Opposition vs. Subscriber CandidateHead to Head Comparison : 

The Opposition vs. Subscriber CandidateHead to Head Comparison

Head to Head Buzz Share : 

Head to Head Buzz Share The Opposition led in relevant candidate-related mentions in Micro Blogs and in Mainstream News coverage.

Head to Head Buzz by Media Type : 

Head to Head Buzz by Media Type Micro Blogs and Mainstream News had more Buzz on the Opposition than on Subscriber Candidate. N=1010 Opposition Subscriber

Head to Head Sentiment Analysis : 

Head to Head Sentiment Analysis Human analysis of conversation sentiment has distinct advantages over automated analysis.

Head to Head Conversation Dynamics : 

Head to Head Conversation Dynamics The Opposition’s vocal support of a particular lawsuit drove up his buzz in Mainstream Media. N=1010

Head to Head Conversation Topics : 

Head to Head Conversation Topics N=1010

Executive Summary : 

Executive Summary Neutrality among voters is clearly evident and thus a focused effort by either party can bring neutral voters into their camp and potentially provide the margin required to pull ahead and sustain the lead through election night Build Social Media campaign of leadership to provide direction to this audience and help voters move from neutral ground To pull away, Subscriber Candidate must overcome the nearly parallel level of negative sentiment he is sharing with the Opposition. Main stream News: Subscriber Candidate is not getting equal coverage. There were 66 mainstream news articles on the Opposition and 26 on Subscriber Candidate. Analyst did not investigate these articles to determine candidate favor Negative Sentiment against Subscriber Candidate must be managed through strategic allocation of resources to include social media interactions into blogs, forums, etc and also to develop favor with mainstream news outlets

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