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In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
A full-text database or a complete-text database is a database that contains the complete text of books, dissertations, journals, magazines, newspapers or other kinds of textual documents. They differ from bibliographic databases (which contain only bibliographical metadata , including abstracts in some cases) and non-bibliographic databases ...
To search for category titles, and for links and text on a category page, search the category namespace (or use CategoryTree, or Categories for title searches). If two categories are closely related but are not in a subset relation, then links between them can be included in the text of the category pages.
Sphinx is configured to examine a data set via its Indexer. The Indexer process creates a full-text index (a special data structure that enables quick keyword searches) from the given data/text. Full-text fields are the resulting content that is indexed by Sphinx; they can be (quickly) searched for keywords. Fields are named, and you can limit ...
It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2].NET [3] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7] According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine. [8]
Content API provides access to all the content the Guardian creates and the collections it has of that content (tags and sections). There are over one and a half million items available published as far back as 1999. The New York Times: NYTimes APIs: Archive API; Article Search API; Books API; Most Popular API; Times Wire API; Top Stories API
Search for any page by title using a Wikipedia-like Search box. Browse pages by alphabetical order using Special:AllPages. Find a word on a page. Access a history of viewed pages. Bookmark your favorite pages. Downloads images and other files on demand (when connected to the internet) Sets up Simple Wikipedia in less than 5 minutes
Tweet data from 2009 including original text, time stamp, user and sentiment. Classified using distant supervision from presence of emoticon in tweet. 1,578,627 Tweets, comma, separated values Sentiment analysis 2009 [47] [48] A. Go et al. ASU Twitter Dataset Twitter network data, not actual tweets. Shows connections between a large number of ...