IDENTIFYING SUGGESTIVE INTENT IN SOCIAL POSTS
First Claim
1. A computer-implemented method comprising:
- receiving a topic;
collecting social posts to one or more social networks that are related to the topic;
identifying, from the collected social posts, one or more suggestive intent posts, the suggestive intent posts expressing one or more suggestions towards the topic; and
identifying, in the suggestive intent posts, one or more aspects of the topic towards which the one or more suggestions are targeted.
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Abstract
This document describes techniques for identifying suggestive intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more suggestive intent posts expressing suggestions towards the topic are identified from the collected social posts. In one or more implementations, a set of related topics are received and social posts to one or more social networks that correspond to the related topics are collected. Then, aspects corresponding to the related topics are identified, and a sentiment score is generated for each aspect of each related topic that can be used to compare aspects of the related topics. In one or more implementations a suggestive intent model, usable to identify social posts expressing suggestive intent, is built from a training corpus of annotated social posts.
33 Citations
20 Claims
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1. A computer-implemented method comprising:
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receiving a topic; collecting social posts to one or more social networks that are related to the topic; identifying, from the collected social posts, one or more suggestive intent posts, the suggestive intent posts expressing one or more suggestions towards the topic; and identifying, in the suggestive intent posts, one or more aspects of the topic towards which the one or more suggestions are targeted. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. One or more computer-readable storage media comprising instructions stored thereon that, responsive to execution by a computing device, cause the computing device to perform operations comprising:
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receiving two or more related topics; collecting social posts to one or more social networks that each correspond to at least one of the two or more related topics; identifying, from the collected social posts, aspects corresponding to the two or more related topics; generating a sentiment score for each aspect of each of the two or more related topics, the sentiment score based on words in the social posts that are indicative of positive sentiment and words in the social posts that are indicative of negative sentiment; and causing display of a user interface that compares the sentiment scores for each aspect of the two or more related topics. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A computer-implemented method for building a suggestive intent model comprising:
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analyzing a training corpus of annotated social posts by linguistically parsing text of the annotated social posts to locate features indicative of suggestive intent; and building the suggestive intent model by passing the features indicative of suggestive intent to a machine-learning model. - View Dependent Claims (17, 18, 19, 20)
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Specification