It is a social goldmine. The answers for most questions are out there somewhere. You just need to know how to ask the question. At SentiMetrix, we provide you with tools and expertise to fully realize the potential of social media.
SentiMetrix offers cutting-edge data science and social analytics solutions to address the "big data" needs of commercial companies and government agencies. Our team includes academic researchers with expertise in data analysis, language analytics, social network and social media analytics, computational social science, artificial intelligence, statistics and mathematics, as well as internet professionals with a proven ability to build efficient and reliable large-scale computer systems.
SentiMetrix has built an array of technology-based solutions, focusing on the near real-time analysis of huge quantities of complex data in multiple languages. From national security to elections to marketing to medical - our solutions are being used to solve problems in many market segments. Sentimetrix has worked with companies in the finance, telecommunications, media, publishing, IT services, and security sectors.
SentiMetrix customers and partners include US government agencies, Fortune 500 companies, small businesses and leading academic institutions. Our proprietary algorithms and highly professional team ensure that any problem, no mattter how big or small, is solved in a timely and efficient fashion. We are proud of the value we continually deliver to our clients!
SentiGrade ™ API offers programmatic access to our automatic Sentiment Analysis engine. It is ideally suited for customers who have their own analytical and visualization solutions that could benefit from accurate sentiment scores extracted from the customer's data. SentiGrade’s sentiment engine has been proven to work in predicting election outcomes, conflicts, and stock price fluctuations.
SentiGrade ™ Dashboard - easy to use Web-based interface that allows customers to track up to 5 topics at a time, compare changes of opinion over time by topic, country language and source. Data extracted from the SentiGrade™ dashboard can be exported to visual graphs or CSV files for easy correlation with your marketing, sales, and other analytic needs.
Tracks the intensity of different emotions (e.g. anger, joy, fear) in any given document (e.g. tweet, Facebook post, blog post, news article, email,SMS)
Primarily aimed at government agencies and large NGOs, this service uses proprietary models to predict future stability of countries and governments, based on information available from public sources (such as news and social media).
Social media analytics platform
SentiSocial™ suite analyzes social media data and identifies users who are active and influential on topics of interest for the client. SentiSocial™ platform helps clients discover actionable insights from the Big Data source, optimize the use of the social media resources and pinpoint the targets for future campaigns.
The browser-based dashboard provides easy-to-use tools to:
SentiMetrix is proud to be a partner of Tata Consultancy Services’ Co-Innovation Network (COIN). By leveraging TCS’s expertise, Sentimetrix can readily deliver solutions that seamlessly fit into your organization’s enterprise software.
The article talks the application of SentiMetrix analytics to detectin of possible PTSD symptoms. This work is supported by the US Army Medical Research and Materiel Command (USAMRMC) under Grant No. W81XWH-13-C-0030.
SentiMetrix is proud to announce that it has been selected to become a member of Tata Consultancy Services’ Co-Innovation Network (COIN). Sentimetrix and TCS are offering joint social media analytics services layering key parts of SentiSocial ™ on top of TCS’s social media platform.
Sentimetrix selected to provide sentiment analysis services to Forbes
SentiMetrix was selected to provide sentiment analysis services via a live real-time fully automated feed to Forbes.
Working together with Stanford University, Rensselaer Polytechnic Institute, and other partners, SentiMetrix is working on a DARPA-funded effort to study and predict opinion spread patterns in major social networks.