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We are a university spin-off registered and based in Singapore (UEN 53334305D) offering B2B sentiment analysis services. We are very different from all other companies providing similar products for three main reasons: 1. OUR SOLUTIONS You do not need to change your OS, UI or IDE: our APIs are easy to use and to embed in any framework. We offer fine-grained solutions to many subtasks of sentiment analysis, e.g., polarity detection, aspect extraction, subjectivity detection, temporal tagging, named-entity recognition, concept extraction, personality recognition, and sarcasm detection, and they are available in different domains, modalities, and languages. 2. OUR TRANSPARENCY We show you what data are collected and how each of them is classified. Most companies, instead, adopt a black-box strategy in which they only show you the classification results. This way you can never be sure about how accurate their analysis really is because they usually do not disclose neither the data nor the techniques adopted for classifying such data (which, in most cases, are rather obsolete). 3. OUR APPROACH NLP research is evolving very fast and the only way to be up-to-date with it is to be fully immersed in academia. We are not just a business company: we are a research lab. We know current and future trends of NLP and we always embed the latest techniques in our APIs. Unlike most companies (which tend to focus only on one facet of the problem), we take a very multidisciplinary approach to sentiment analysis.

SenticNet Questions

The SenticNet annual revenue was $1.4 million in 2026.

2 people are employed at SenticNet.

The NAICS codes for SenticNet are [611310, 61, 6113, 61131, 611].

The SIC codes for SenticNet are [82, 822].

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