Saplo, a Swedish startup that uses semantic technologies for text analysis, has raised $500,000 in seed funding from Professor Göran Grosskopf, Chairman of the Stichting INGKA Foundation (the parent company of the IKEA Group) and Martin Liljeberg, Founder of the SOVA chain of stores (Sweden’s largest chain of bed stores).
Saplo’s technology extracts data from articles, forums, blogs, wikis, and will evaluate opinions on a given topic, find related articles, or produce relevant tags. Saplo will be able to tag articles by classifying words, and extracting topics from text. The technology can also find articles in large text collections that have similar meaning and can be used for contextual recognition or sentiment analysis.
These technologies can analyze text from blogs, news articles, Tweets, documents, web text and more. Currently, Sapplo only works for the English and Swedish languages. Media companies rely on these semantic technologies to tag and organize the enormous amount of content on their platforms. Saplo faces competition from Nstein, and others.
Saplo uses innovative semantic technologies to analyze text in a way that mimic how humans read and evaluate text. Saplo help organisations extract and refine valuable information hidden in large text collections. Saplo have five different services; Entity Tagging, Topic Tags, Related & Similar Articles, Contextual recognition and Sentiment Analysis. Entity Tagging Saplo Tags automatically extract entities found in text. This service can automatically define the meaning of words and identify each tag as a company, person or location. Topic Tags Saplo Topics...