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AssigneeAdobe Systems Incorporated
InventorsMohit Garg, Pawan Goyal, Ankur Jain, Vivek Kumar
Estimating the term…
Techniques are disclosed for automatically detecting anomalies in the content of a scheduled social media post, alerting a user to the presence of such anomalies before the content is posted and recommending a course of action when an anomaly is detected. A set of keywords is extracted from a scheduled post using an ontological classification technique. At predetermined time intervals, the keywords are compared with information obtained from one or more data sources to determine if an anomaly is present. If an anomaly is detected, the scheduled post is classified into one of at least three categories: supporting the post, neutral, or opposing the post. Once the anomaly is detected and the scheduled post is classified, the author of the post is alerted to the anomaly along with the categorization. Subsequently, the author may reschedule the post to an earlier or later time, delete the post, or change the post.
A computer-implemented method comprising:
A system comprising:
A non-transient computer program product having instructions encoded thereon that when executed by one or more processors cause a process to be carried out, the process comprising:
Dependencies are inferred from the claim text.