1. A method comprising: aggregating, from a set of points extracted from a large document, a set of core points, a point and a core point each being a topic covered in the document; constructing, for the core point in the set of core points, a network of associations, wherein an association in the network comprises an entity that has a relationship with the core point by virtue of having contributed data in the document that relates to the core point; computing, from the contributed data a sentiment value of the contributed data, the sentiment value being indicative of a sentiment of the entity towards the core point; analyzing a data stream from a data source other than the document to isolate a portion of data stream that relates to the core point; identifying a second entity in the portion of the data stream, wherein the second entity contributes the portion of the data stream that relates to the core point; computing, from the portion of the data stream that relates to the core point, a second sentiment value of the second entity towards the core point; determining that the second entity does not exist in the network of associations; adding, responsive to determining that the second entity does not exist in the network of associations, the second entity and the second sentiment value to the network of associations; computing from a set of sentiment values corresponding to the associations in the network of associations, an overall sentiment value for the core point; and reporting overall sentiment values for each core point in the document.