Whether it's a political article, tech review, or blog post, Analyzr graphs connotative information about the key subjects it finds in your text.
Analyzr uses AlchemyAPI to extract the sentiment towards the most relevant topics in the text. These topics can be anything from people, to companies, to cities. This data is then graphed using the D3 library. Hovering over elements in the graph displays more information about each entity.
Data is also presented in a table below the graph. Analyzr allows filtering by entry type, which dynamically updates the graph and table with the new data.
Data extracted from articles includes: sentiment, relevance to article, number of occurrences, and external links to learn more about the subject. Each submitted article is stored in a database which results in quicker retrieval and less computation.