International Business Machines Corporation

Akshat Dixit

Gandhi Sivakumar

Geetha Adinarayan

Dinesh Radhakrishnan

Balaji Sankar Kumar

Vidya Chandrashekar

Vamshi Dondapati

Manu K M

Annwesh Barik

Arun Sabaresh Anantha Narayanan

Arun Aravind

An embodiment converts, by a voice-to-text converter, voice data to text data. The embodiment extracts, by an extractor, an intent and an entity from the text data. The embodiment predicts, by a predictor, based on the intent and the entity, a sensitive information. The embodiment compares, by an intersector, the text data to the predicted sensitive information. The embodiment determines, by the intersector, responsive to the comparing, whether the text data includes the predicted sensitive information. The embodiment intersects, by the intersector, responsive to a determination that the text data includes the predicted sensitive information, the voice data.

Identification and prevention of sensitive information exposure in telephonic conversations

Technique for adding new key values (that is, new strings of binary digits that can be obtained by concatenating node values of nodes on a path through a tree) to a tree where each node corresponds to an ordered string of binary digits. When integrating the new key value, an XOR function is used to find an appropriate insertion location node (sometimes called a 'selected parent node') by efficiently finding the node that represents a path value (that is, concatenated value) that includes the longest prefix and a dissimilar suffix. Once the parent node is selected, the child nodes of this selected parent node are added and/or re-arranged to accommodate the new key value.

Optimizing hash storage and memory during caching

A method and system for controlling unwanted phone calls. In response to a determination that a phone number of a current incoming call to a user is not a phone number in a contact list including phone numbers of the user's contacts and to a determination that the phone number of the current incoming call is a phone number in a phone list of a shared table, the shared table for the previous call duration is analyzed for the previous call duration and the previous sentiment of the user during a previous incoming phone call for the phone number of the current incoming call to the user. It is ascertained, from analyzing the shared table for the previous call duration, that the previous call duration is less than a predetermined call duration and the previous sentiment is a negative sentiment, and in response the current incoming call is rejected.

Identifying and controlling unwanted calls

Systems, methods and tools for leveraging computer networks, data sharing, data analytics and sentiment analysis to control the receipt of unwanted telephone calls and preventing unwanted telephone calls from disturbing a user through the implementation of contacts list and/or a shared table of unique calls. Contact lists and shared tables of unique calls may identify incoming calls that may be directed to the user or filtered out based on whether the incoming call's number is in the user's contact list and/or based on the past experiences of the individual users engaging with the incoming caller. Embodiments may track the past call durations for unique incoming number and track the sentiment of users during these calls and use the collected call data and sentiment determine whether subsequent incoming calls from a phone number should be forwarded to the user's telephone enabled device or automatically responded to with further instructions.

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Bengaluru, India

Akshat Dixit