Let us help your business to differentiate your product/service using power of text analytics. Call us to understand how different companies have used machine learning to grow their business.
- Recommendation Engine: Match Buyer to Seller or recommend friends/services/products
- Categorize, cluster, prioritize, and harmonize information to analyze big data. Just imagine the power of solution which can categorize leads into various stages of sales cycle or finding the impact of information passed among various groups about your product/service.
- Entity extraction and finding entity relationships. Who are all involved in conversation and who is tied to whom at what level can help you to maximize impact of your marketing efforts.
- Published most circulated twitter sentiment engine related white papers.
- Team with PhD in artificial intelligence from ivy league school.
- Tools experience. For example: Java worldNet library, libsvm, weka, lucene, elastic search, Maxent Parts-of -Speech Tagger, Stanford Parser.
- Data Sets experience. For example: DAL Dictionary, Internet Slangs Dictionary, Sentiword, Stop words, Wordnet Dictionary, Emoticons Dictionary.
- Experienced annotators. Click here to download our most popular annotated twitter data.
Case StudiesPlease email us at email@example.com to get the comparison between our sentiment engine results in comparison to other sentiment engines.