Social Media Sentiment Analytics

Enabling smart living via connected homes

Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme. Our net sentiment score and brand passion index show how users feel about your brand and compares across your competitors.

Sentiment analysis is the process of retrieving information about a consumer’s perception of a product, service or brand.

 

If you want to know exactly how people feel about your business, sentiment analysis can do the trick. Specifically, social media sentiment analysis takes the conversations your customers are around the social space and puts them into context.

 

Businesses obviously need to be paying attention to their social mentions on Twitter or Instagram where customers are addressing you directly. Doing so is a great way to capitalize on praise and address criticism in a timely manner.

 

Monitoring all of these platforms manually can certainly be time-consuming. That’s why we recommend a social listening tool such as Sprout for the sake of saving time.

Social Media Sentiment Analytics

Real time Twitter sentiments

Facebook and Instagram sentiment

Competitive insights

Top hashtags and Emoji distribution

Top keywords and word clouds

Technology

Python

Tensorflow

RabbitMQ

Plotly