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A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]
Fine-grain categorization and topic codes. 487,000 Text Classification, clustering, summarization 2005 [26] Reuters: Thomson Reuters Text Research Collection Large corpus of news stories. Details not described. 1,800,370 Text Classification, clustering, summarization 2009 [27] T. Rose et al. Saudi Newspapers Corpus 31,030 Arabic newspaper articles.
GATE – general Architecture for Text Engineering, an open-source toolbox for natural language processing and language engineering. Gensim – large-scale topic modelling and extraction of semantic information from unstructured text . KH Coder – for Quantitative Content Analysis or Text Mining; The KNIME Text Processing extension.
(Reuters) - Quantum startup SandboxAQ said its large quantitative models (LQMs) will be available on Google Cloud, the company told Reuters on Tuesday, as cloud providers look to AI tech to fuel ...
TAPoR (Text Analysis Portal for Research) is a gateway that highlights tools and code snippets usable for textual criticism of all types. The project is housed at the University of Alberta , and is currently led by Geoffrey Rockwell, Stéfan Sinclair, Kirsten C. Uszkalo, and Milena Radzikowska.
The task is the following. You are given a piece of text, such as a journal article, and you must produce a list of keywords or key[phrase]s that capture the primary topics discussed in the text. [14] In the case of research articles, many authors provide manually assigned keywords, but most text lacks pre-existing keyphrases. For example, news ...
Convolution random number generator — generates a random variable as a sum of other random variables; Indexed search; Variance reduction techniques: Antithetic variates; Control variates; Importance sampling; Stratified sampling; VEGAS algorithm; Low-discrepancy sequence. Constructions of low-discrepancy sequences; Event generator; Parallel ...
In statistics and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body.
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