You may have heard about Aylien awhile back, when it was trying to carve a niche as a consumer products company that used its text analysis API to inform its delivery of articles via a news reader interface to the masses. It’s changed tactics since then: Now the company — which recently brought semantic web expert and lecturer at NUI Galway and Insight Centre Dr. John Breslin on-board as an advisor — is orienting its text analysis and news APIs to media and PR organizations, as well as other industries and developers.
“It makes a lot of sense for customers,” says CEO and founder Parsa Ghaffari. “The biggest volume of information on the Internet is represented as text, which is obviously unstructured information. Through NLP you can obviously try to find structure in text, …so we think it can be seen as a first step to the semantic web vision to enable any developer or startup to extract that structure and find the value in it.”
Aylien’s text analytics API consists of eight distinct natural language processing, information retrieval, and machine learning APIs for article extraction, article summarization, classification, entity extraction, concept extraction, language detection, sentiment analysis and hashtag suggestions.