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39 relations: Apache Lucene, Automatic summarization, Boolean data type, Common logarithm, Document, Frequency (statistics), Gensim, Hans Peter Luhn, Heuristic, Information retrieval, Information theory, Karen Spärck Jones, Kullback–Leibler divergence, Latent Dirichlet allocation, Latent semantic analysis, Logarithmic scale, McGraw-Hill Education, Mutual information, Noun phrase, Okapi BM25, PageRank, Probability distribution, Probability theory, Proportionality (mathematics), Ranking (information retrieval), Relevance (information retrieval), Sample space, Scikit-learn, Self-information, Stop words, Text corpus, Text mining, User modeling, Vector space model, Web search engine, Weighting, Word count, Word embedding, Zipf's law.
Apache Lucene
Apache Lucene is a free and open-source information retrieval software library, originally written completely in Java by Doug Cutting.
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Automatic summarization
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document.
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Boolean data type
In computer science, the Boolean data type is a data type that has one of two possible values (usually denoted true and false), intended to represent the two truth values of logic and Boolean algebra.
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Common logarithm
In mathematics, the common logarithm is the logarithm with base 10.
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Document
A document is a written, drawn, presented, or memorialized representation of thought.
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Frequency (statistics)
In statistics the frequency (or absolute frequency) of an event i is the number n_i of times the event occurred in an experiment or study.
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Gensim
Gensim is a robust open-source vector space modeling and topic modeling toolkit implemented in Python.
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Hans Peter Luhn
Hans Peter Luhn (July 1, 1896 – August 19, 1964) was a researcher in the field of computer science, and, Library & Information Science for IBM, and creator of the Luhn algorithm, KWIC (Key Words In Context) indexing, and Selective dissemination of information ("SDI").
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Heuristic
A heuristic technique (εὑρίσκω, "find" or "discover"), often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method, not guaranteed to be optimal, perfect, logical, or rational, but instead sufficient for reaching an immediate goal.
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Information retrieval
Information retrieval (IR) is the activity of obtaining information system resources relevant to an information need from a collection of information resources.
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Information theory
Information theory studies the quantification, storage, and communication of information.
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Karen Spärck Jones
Karen Spärck Jones FBA (26 August 1935 – 4 April 2007) was a British computer scientist who was responsible for the concept of inverse document frequency, a technology that underlies most modern search engines.
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Kullback–Leibler divergence
In mathematical statistics, the Kullback–Leibler divergence (also called relative entropy) is a measure of how one probability distribution diverges from a second, expected probability distribution.
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Latent Dirichlet allocation
In natural language processing, latent Dirichlet allocation (LDA) is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar.
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Latent semantic analysis
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
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Logarithmic scale
A logarithmic scale is a nonlinear scale used when there is a large range of quantities.
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McGraw-Hill Education
McGraw-Hill Education (MHE) is a learning science company and one of the "big three" educational publishers that provides customized educational content, software, and services for pre-K through postgraduate education.
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Mutual information
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables.
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Noun phrase
A noun phrase or nominal phrase (abbreviated NP) is a phrase which has a noun (or indefinite pronoun) as its head, or which performs the same grammatical function as such a phrase.
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Okapi BM25
In information retrieval, Okapi BM25 (BM stands for Best Matching) is a ranking function used by search engines to rank matching documents according to their relevance to a given search query.
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PageRank
PageRank (PR) is an algorithm used by Google Search to rank websites in their search engine results.
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Probability distribution
In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.
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Probability theory
Probability theory is the branch of mathematics concerned with probability.
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Proportionality (mathematics)
In mathematics, two variables are proportional if there is always a constant ratio between them.
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Ranking (information retrieval)
Ranking of query results is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search engines.
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Relevance (information retrieval)
In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user.
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Sample space
In probability theory, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment.
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Scikit-learn
Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language.
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Self-information
In information theory, self-information or surprisal is the surprise when a random variable is sampled.
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Stop words
In computing, stop words are words which are filtered out before or after processing of natural language data (text).
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Text corpus
In linguistics, a corpus (plural corpora) or text corpus is a large and structured set of texts (nowadays usually electronically stored and processed).
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Text mining
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text.
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User modeling
User modeling is the subdivision of human–computer interaction which describes the process of building up and modifying a conceptual understanding of the user.
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Vector space model
Vector space model or term vector model is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms.
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Web search engine
A web search engine is a software system that is designed to search for information on the World Wide Web.
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Weighting
The process of weighting involves emphasizing the contribution of some aspects of a phenomenon (or of a set of data) to a final effect or result, giving them more weight in the analysis.
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Word count
The word count is the number of words in a document or passage of text.
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Word embedding
Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.
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Zipf's law
Zipf's law is an empirical law formulated using mathematical statistics that refers to the fact that many types of data studied in the physical and social sciences can be approximated with a Zipfian distribution, one of a family of related discrete power law probability distributions.
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Redirects here:
Inverse document frequency, TDIDF, TF * IDF, TF IDF, TF x IDF, TF × IDF, TF*IDF, TF-IDF, TF/IDF, TFIDF, TFxIDF, TF×IDF, Tdidf, Term Frequency Inverse Document Frequency, Term frequency, Term frequency–inverse document frequency, Term-frequency, Tf * idf, Tf x idf, Tf × idf, Tf*idf, Tf-idf, Tf.idf, Tf/idf, Tfidf, Tfxidf, Tf×idf.
References
[1] https://en.wikipedia.org/wiki/Tf–idf
