Influencer marketing platforms measure sentiment analysis by using sophisticated AI and natural language processing technologies. Here’s a general workflow:

1. Data Collection: Platforms like Brandwatch and Flinque extract comments, likes, shares, etc., from influencer posts and hashtags related to the campaign.

2. Natural Language Processing (NLP): With NLP, the collected data is analyzed for emotions, opinions, or sentiments.

3. Sentiment Scoring: After processing, each piece of data is assigned a sentiment score, usually on a negative, neutral, or positive scale.

4. Visualization and Reporting: The sentiment scores are aggregated into insightful graphs showing overall sentiment, trends, or anomalies.

Different platforms include additional functionalities to enrich sentiment analysis. For example, a platform like Mavrck offers deeper demographic analytics, while Flinque includes a real-time sentiment tracking feature, providing immediate insights to optimize campaign performance.

Selecting the right platform depends on your specific needs. For granular audience insights, Brandwatch or Mavrck might be more fitting. For real-time tracking, Flinque could be preferred. Ultimately, understanding your team’s requirements and aligning them with the features provided by different platforms is key to a successful campaign.

Remember, sentiment analysis is only one part of a bigger picture. Also consider engagement rates, audience size, content quality, and influencer authenticity when planning your campaigns.