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Sentiment Analysis for a Political Think Tank

May 29 2020
Summary
This time, we were approached by an autonomous political think tank of the country to create models for sentiment analysis.

The Challenge

A leading political party was facing issues in converting their social media conversations into a useful format that could be used as data assets by the think tank. They wanted the conversations to provide touch points around which they could plan, design, and execute their political campaigns in the future.

The Solution

Our solution-centric approach for the unique needs of this political party helped us provide them with the following solutions:

1. We designed a SaaS-based set-up pipeline for automated conversion of speech to text
2. Using NLP techniques, we provided them with text data opinion mining facility and sentiment analysis for their social media channels
3. For each of their social media channel including Facebook, Twitter, and Youtube, they were provided with data collection, cleaning, visualization, classification and sentiment analysis of the comments section

This helped them to streamline and use data to design their political campaign for the year effectively on the bases of authentic data.

The Result

1. We designed a SaaS-based set-up pipeline for automated conversion of speech to text
2. Using NLP techniques, we provided them with text data opinion mining facility and sentiment analysis for their social media channels
3. For each of their social media channel including Facebook, Twitter, and You

KPI's Achievments

1. We designed a SaaS-based set-up pipeline for automated conversion of speech to text
2. Using NLP techniques, we provided them with text data opinion mining facility and sentiment analysis for their social media channels
3. For each of their social media channel including Facebook, Twitter, and You