What is Sentiment Analysis?

Sentiment Analysis, or opinion mining, is the way to evaluate how someone feels about a certain given subject and how strong that feeling is. Sentiment analysis focuses on the polarity of a text (positive, negative, neutral) but it also goes beyond polarity to detect specific feelings and emotions (angry, happy, sad, etc), urgency (urgent, not urgent) and even intentions (interested, not interested). You can define and tailor your categories to meet your sentiment analysis needs.

Today, sentiment analysis consistently becomes more and more popular, since it allows companies and their individual functional divisions to better understand real feelings of the most important business audience groups, i.e. customers, partners, and employees.

Analyze sentiment in any
textual data

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Why to use the Sentiment Analysis API?

Stop wasting time on manual search; monitor, measure, and analyze sentiment automatically.
Enrich your social listening strategy with automated analysis of how your target audience really feels.
Prioritize your customer support based on the sentiment score attached to each customer request.
Track sentiment to predict problems.
See how you stack up against your competitors.

Track any business topic you want

Sentiment Analysis allows to track any topic relevant to your business – your company name, brand, competitor, campaign hashtags, etc. You can analyse both your corporate reputation and that of your individual brands.

Moreover, you can analyse extremely various text sources: audio and video records, call transcripts, chat histories, posts in social media, reviews, etc.

Main advantages of our Sentiment Analysis API

Sorting Data at Scale

Sentiment analysis helps businesses process huge amounts of unstructured data in an efficient and cost-effective way.

Real-Time Analysis

Sentiment analysis can identify critical issues in real-time (e.g. Is a PR crisis on social media escalating? Is an angry customer about to churn?). Special models can help you immediately identify unsafe situations and take the necessary actions right away.

Consistent criteria

By using a centralized sentiment analysis system, companies can apply the same criteria to all of their data, helping them improve accuracy and gain better insights.