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Added Topic pages, added NER api endpoint, additional sentiment model

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@gregorleban gregorleban released this 29 Jun 06:40
· 45 commits to master since this release

Added

  • added TopicPage class. It can be used to create a topic by specifying keywords, concepts, sources, ... as well as their weights. You can specify a threshold and receive only articles and events that match enough specified conditions to reach the required weight. Alternatively, you can simply sort the results by relevance and get the top-ranked results that are most related to your topic page. See TopicPageExamples.py file for examples on how to use the topic pages.
  • added named entity extraction endpoint to Analytics. Call Analytics.ner(text) to extract named entities.

Updated

  • sentiment analysis now supports two models - vocabulary based as well as a model using neural networks. Choose the model by specifying the method parameter. Possible values for it are vocabulary (vocabulary based sentiment analysis, default) or rnn (neural networks based model).