Jpmorgan Chase Bank, N.a.

Srijan Sood

Tucker Richard Balch

Manuela Veloso

Maria Manuela Veloso

Naftali Y Cohen

Zhen Zeng

Keshav Ramani

Kassiani Papasotiriou

Shayleen Reynolds

Nilgun Ilayda Akalin

Lawrence Yong

A method and system for generating keywords that distinguish a group of selected documents from a larger corpus. The method includes: receiving a corpus that includes a plurality of documents; selecting from the corpus, based on at least one predetermined criterion, a group of the documents; determining a first Inverse Document Frequency (IDF) score for each word in a vocabulary of the group with respect to the corpus; determining a second IDF score for each word in the vocabulary of the group with respect to the group; generating based on the first IDF score and the second IDF score, a Group Frequency Inverse Document Frequency (GFIDF) score for each word in the vocabulary of the group; and assigning based on the generated GFIDF score for each word in the vocabulary of the group, at least one keyword.

Method and system for generating keywords

A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.

Method for automatically identifying signals or patterns in time series data by treating series as image

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New York, NY, United States of America

Srijan Sood