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Windows proprietary 2.6 Multi-purpose tool for computer, mobile, memory and cloud forensics Bulk_Extractor: Windows, MacOS and Linux: MIT: 2.1.1: Extracts email addresses, URLs, and a variety of binary objects from unstructured data using recursive re-analysis. COFEE: Windows: proprietary: n/a: A suite of tools for Windows developed by Microsoft
Windows, macOS, Web, Android, Windows Phone Freeware: Notes manager org-mode: Cross-platform GPL Integrates with Emacs BBDB for contact management support, web browsers for hyperlink storing support. Free iPhone and Android apps available (Orgzly, MobileOrg and Beorg) Personal Knowbase: Windows Commercial Freeform note-taking organizer ...
Azure Data Explorer is a fully-managed [1] big data analytics cloud platform [2] [3] and data-exploration service, [4] developed by Microsoft, [5] [6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).
Dask Bag is used to parallelize computation of semi-structured or unstructured data, such as JSON records, text data, log files or user-defined Python objects using operations such as filter, fold, map and groupby. Dask Bags can be created from an existing Python iterable or can load data directly from text files and binary files in the Avro ...
NVivo is intended to help users organize and analyze non-numerical or unstructured data.Its developers state that it helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]
Information extraction – Machine reading of unstructured documents; Information seeking – Process or activity of attempting to obtain information in both human and technological contexts Information seeking § Compared to information retrieval; Collaborative information seeking