Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.

Abstract: A system and a method for assessing a relevancy of a news article with respect to an entity are provided. The method includes: receiving a news article that relates to the entity; analyzing the content and/or functionality of the news article; and determining a quality score that corresponds to a relevancy of the news article with respect to the entity based on a result of the analyzing. The analyzing may be performed by applying an algorithm that uses a Natural Language Processing (NLP) technique to analyze the content and/or functionality and that generates an output that includes the quality score. The algorithm may also generate a dependency graph that illustrates relationships among various entities referred to in the news article.

Abstract: Systems and methods for facilitating an assessment with respect to an entity are provided. The method includes receiving a news article that relates to the entity; assigning the news article to a category; adding structured information that corresponds to a result of analyzing the content of the news article; and transmitting information that corresponds to the news article such that a user interface associated with the destination displays the transmitted information. The user interface may include clickable icons that correspond to a user-selectable date range for the news article, displaying a full-text entirety of the news article, and accessing other news articles that relate to the entity or the category.

Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.