Info Sabanci University start-up company founded in March 2013 by academicians and graduate students from Sabanci University. We develop social media.

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Presentation transcript:

Info Sabanci University start-up company founded in March 2013 by academicians and graduate students from Sabanci University. We develop social media analysis tools using Natural Language Processing (NLP) and Sentiment Analysis techniques, together with our expertise in Machine Learning and Data Mining. Gebze Org.San.B. TEKNOPARK 1.Üretim Binası No:5/ Gebze/ Kocaeli

Products Sentiment Analysis Tools ▫ Fully automatic engine that is adapted with a small effort, to specific domains such as banking, telecommunication, education, and politics. ▫ Used for doing statistical analysis of social media messages (number, sentiment, topics). ▫ Available for both Turkish and English %60 negative- %20 objective - %20 positive Number of messages: …..… Most frequent topics: …..…. Most frequent users: …….... Topic-wise distribution: ….....

Products Sentiment Analysis Annotation Tool ▫ Semi-automatic annotation tool to speed up human labelling of social media messages (e.g. tweets) – includes the sentiment analysis engine.  Used by media analysis companies to get accurate reports on sentiment, topics etc. of social media messages  Available for both Turkish and English  Can be customized

Products Social Monitoring Tool  Used by companies to monitor the latest, the most retweeted tweets and the most important users.  Observing activity of your company by time and the most trending services, products or any other words related to your company.

Products Customer Service Module  Used by companies to see positive and negative tweets with their spread effect.

Products Reputation Management Module  This part is for comparing companies with their competitors.

Information summarization tool ▫ Takes user reviews on a webpage (e.g. about a car model) and extracts factual/objective statements from users comments Future Products

Projects We work on challenging research problems of customers, on a project basis. These modules or algorithms are developed by leveraging our Natural Language Processing (NLP) and Sentiment Analysis tools, together with expertise in Machine Learning and Data Mining.