1. A method for managing analysis of sentiment, the method comprising: retrieving, by a computer, data used to perform the analysis of sentiment; analyzing, by the computer, the data and the analysis of sentiment using user preferences comprising integration preferences for using social networks and crowdsourcing platforms and policies to determine if a gap in the analysis of sentiment exists requiring further processing to improve the analysis of sentiment, wherein the gap exists in sentiment analysis of source materials determined to be insufficient to derive sentiment for aspects of entities, and wherein gap identification uses the policies to identify the gap based on measures of sentiment not meeting one or more thresholds in the policies; responsive to the computer analyzing the data and the analysis of sentiment to determine if the gap in the analysis of sentiment exists, determining, by the computer, an amount of positive sentiment in the data and negative sentiment in the data for each topic in a set of topics corresponding to aspects of an entity and selecting, by the computer, a topic from the set of topics corresponding to a particular aspect of the entity for the further processing based on determining that the amount of positive sentiment in the data and negative sentiment in the data for the selected topic fails to meet a threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity; generating, by the computer, a task using a particular task template, in a set of task templates, matching a type of gap to address the gap in the analysis of sentiment regarding the selected topic that failed to meet the threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity, wherein the task comprises a specification for performing the task comprising a description of activity, a domain ontology, a description of the gap, a description of the task, sentiment information, measures of sentiment about aspects of entities associated with the gap, questions for a survey from the task template, and instructions for completing the task to address the gap; and using, by the computer, crowdsourcing to submit the task for processing to address the gap in the analysis of sentiment regarding the selected topic that failed to meet the threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity, wherein the computer using the crowdsourcing to submit the task for processing further comprises: identifying, by the computer, users associated with the topic about the particular aspect of the entity based on an amount of sentiment information about the topic in retrieved data from each user; determining, by the computer, a group sentiment about the topic corresponding to a group of users on a social network; and selecting, by the computer, one or more users within the group of users on the social network to submit the task to based on the determined group sentiment about the topic.
1. A method for managing analysis of sentiment, the method comprising: retrieving, by a computer, data used to perform the analysis of sentiment; analyzing, by the computer, the data and the analysis of sentiment using user preferences comprising integration preferences for using social networks and crowdsourcing platforms and policies to determine if a gap in the analysis of sentiment exists requiring further processing to improve the analysis of sentiment, wherein the gap exists in sentiment analysis of source materials determined to be insufficient to derive sentiment for aspects of entities, and wherein gap identification uses the policies to identify the gap based on measures of sentiment not meeting one or more thresholds in the policies; responsive to the computer analyzing the data and the analysis of sentiment to determine if the gap in the analysis of sentiment exists, determining, by the computer, an amount of positive sentiment in the data and negative sentiment in the data for each topic in a set of topics corresponding to aspects of an entity and selecting, by the computer, a topic from the set of topics corresponding to a particular aspect of the entity for the further processing based on determining that the amount of positive sentiment in the data and negative sentiment in the data for the selected topic fails to meet a threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity; generating, by the computer, a task using a particular task template, in a set of task templates, matching a type of gap to address the gap in the analysis of sentiment regarding the selected topic that failed to meet the threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity, wherein the task comprises a specification for performing the task comprising a description of activity, a domain ontology, a description of the gap, a description of the task, sentiment information, measures of sentiment about aspects of entities associated with the gap, questions for a survey from the task template, and instructions for completing the task to address the gap; and using, by the computer, crowdsourcing to submit the task for processing to address the gap in the analysis of sentiment regarding the selected topic that failed to meet the threshold amount of positive and negative sentiment for the selected topic to derive sentiment for the particular aspect of the entity, wherein the computer using the crowdsourcing to submit the task for processing further comprises: identifying, by the computer, users associated with the topic about the particular aspect of the entity based on an amount of sentiment information about the topic in retrieved data from each user; determining, by the computer, a group sentiment about the topic corresponding to a group of users on a social network; and selecting, by the computer, one or more users within the group of users on the social network to submit the task to based on the determined group sentiment about the topic. 3. The method of claim 1 , wherein the analyzing of the sentiment is for the aspects of the entity corresponding to an activity, and wherein the gap in the analysis of sentiment requiring the further processing corresponds to the topic about the particular aspect of the entity.