background preloader

Text mining

Text mining
A typical application is to scan a set of documents written in a natural language and either model the document set for predictive classification purposes or populate a database or search index with the information extracted. Text mining and text analytics[edit] The term text analytics describes a set of linguistic, statistical, and machine learning techniques that model and structure the information content of textual sources for business intelligence, exploratory data analysis, research, or investigation.[1] The term is roughly synonymous with text mining; indeed, Ronen Feldman modified a 2000 description of "text mining"[2] in 2004 to describe "text analytics."[3] The latter term is now used more frequently in business settings while "text mining" is used in some of the earliest application areas, dating to the 1980s,[4] notably life-sciences research and government intelligence. History[edit] Text analysis processes[edit] Applications[edit] Security applications[edit] Software[edit]

Related:  Mining Data-text-webData Mining - Text Mining = Fouille de Données, de Textes

Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.

Search suggest drop-down list A search suggest drop-down list is a query feature used in computing. A quick system to show the searcher shortcuts, while the query is typed. Before the query has been typed, a drop-down list with the suggested complete search queries, is given as options to select and access. The suggested queries then enable the searcher to complete the required search quickly. It is a form of autocompletion while typing into a query text box, before a detailed search result is entered. Lists can be based on popular searches or other options.

What is Data Mining? A Webopedia Definition Main » TERM » D » By Vangie Beal Data mining requires a class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. For example, data mining software can help retail companies find customers with common interests. Sorting algorithm The output is in nondecreasing order (each element is no smaller than the previous element according to the desired total order);The output is a permutation (reordering) of the input. Further, the data is often taken to be in an array, which allows random access, rather than a list, which only allows sequential access, though often algorithms can be applied with suitable modification to either type of data. Since the dawn of computing, the sorting problem has attracted a great deal of research, perhaps due to the complexity of solving it efficiently despite its simple, familiar statement. For example, bubble sort was analyzed as early as 1956.[1] A fundamental limit of comparison sorting algorithms is that they require linearithmic time – O(n log n) – in the worst case, though better performance is possible on real-world data (such as almost-sorted data), and algorithms not based on comparison, such as counting sort, can have better performance. Classification[edit]

Search algorithm Classes of search algorithms[edit] For virtual search spaces[edit] Algorithms for searching virtual spaces are used in constraint satisfaction problem, where the goal is to find a set of value assignments to certain variables that will satisfy specific mathematical equations and inequations. They are also used when the goal is to find a variable assignment that will maximize or minimize a certain function of those variables. Algorithms for these problems include the basic brute-force search (also called "naïve" or "uninformed" search), and a variety of heuristics that try to exploit partial knowledge about structure of the space, such as linear relaxation, constraint generation, and constraint propagation. For sub-structures of a given structure[edit]

Cluster Execution Compute clusters often run idle because of a lack of applications that can be run in the cluster environment and the enormous effort required to operate, maintain, and support applications on the grid. KNIME Cluster Execution tackles this problem by providing a thin connection layer between KNIME and the cluster, which allows every node running in KNIME and every application integrated in KNIME to be executed on the cluster. Submission of data to the cluster and collection of the results is made very simple. Long-running analysis workflows can be executed on the compute cluster, thus releasing local resources for other productive work.

List of text mining software From Wikipedia, the free encyclopedia Text mining computer programs are available from many commercial and open source companies and sources. Commercial[edit] Commercial and Research[edit] Search engine (computing) A search engine is an information retrieval system designed to help find information stored on a computer system. The search results are usually presented in a list and are commonly called hits. Search engines help to minimize the time required to find information and the amount of information which must be consulted, akin to other techniques for managing information overload.[citation needed]

Retail + Social + Mobile = @WalmartLabs Eric Schmidt famously observed that every two days now, we create as much data as we did from the dawn of civilization until 2003. A lot of the new data is not locked away in enterprise databases, but is freely available to the world in the form of social media: status updates, tweets, blogs, and videos. At Kosmix, we’ve been building a platform, called the Social Genome, to organize this data deluge by adding a layer of semantic understanding. Conversations in social media revolve around “social elements” such as people, places, topics, products, and events. For example, when I tweet “Loved Angelina Jolie in Salt,” the tweet connects me (a user) to Angelia Jolie (an actress) and SALT (a movie).

List of text mining software - Wikipedia Text mining computer programs are available from many commercial and open source companies and sources. Commercial[edit] Commercial and Research[edit]