Abstract: A method and a system for identifying indication for activity in a topic or a sentiment associated to, of an entity in a textual document are provided herein. The method may include the following stages: obtaining a plurality of textual documents describing a plurality of entities; identifying a relationship between entities and verbs at least on a sentence level, based on a semantic analysis of the verbs; determining at least one of: a topic, and a sentiment associated to the verbs identified in textual documents; and using the identified relationship between entities and verbs and a respective determined topic or sentiment associated with the verbs to determine for each of the plurality of entities: a sentiment level associated thereto, and a level of activity at the at least one topic associated thereto.

Abstract: A method and a system for generating coded dataset of sentences with a high resolution labeling are provided herein. The method may include: obtaining a plurality of textual documents that are pre-classified on a whole document level, into topics; training one or more mixed-membership model unsupervised algorithms, implemented by a computer processor, based on said topics, to yield a distribution of sub topics for each of the textual documents; and applying a transformation, implemented by a computer processor, to said distribution of sub topics for each of the textual documents, to yield a topic tagging score for said sub topics on a text-portion level.

Abstract: A method and a system for identifying indication for activity in a topic or a sentiment associated to, of an entity in a textual document are provided herein. The method may include the following stages: obtaining a plurality of textual documents describing a plurality of entities; identifying a relationship between entities and verbs at least on a sentence level, based on a semantic analysis of the verbs; determining at least one of: a topic, and a sentiment associated to the verbs identified in textual documents; and using the identified relationship between entities and verbs and a respective determined topic or sentiment associated with the verbs to determine for each of the plurality of entities: a sentiment level associated thereto, and a level of activity at the at least one topic associated thereto.