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  2. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...

  3. List of text mining methods - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_methods

    Different text mining methods are used based on their suitability for a data set. Text mining is the process of extracting data from unstructured text and finding patterns or relations. Below is a list of text mining methodologies. Centroid-based Clustering: Unsupervised learning method. Clusters are determined based on data points. [1]

  4. Co-occurrence network - Wikipedia

    en.wikipedia.org/wiki/Co-occurrence_network

    The generation and visualization of co-occurrence networks has become practical with the advent of electronically stored text compliant to text mining. By way of definition, co-occurrence networks are the collective interconnection of terms based on their paired presence within a specified unit of text. Networks are generated by connecting ...

  5. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

  6. Technology intelligence - Wikipedia

    en.wikipedia.org/wiki/Technology_intelligence

    A common tool used is text mining. This tool obtains information from a company's data and analyzes and identifies patterns that will be beneficial to them. [10] The benefit of text mining is that it has a keyword-based morphology analysis that allows you assess the economic and technological value of future technology. [10]

  7. List of text mining software - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_software

    Orange with its text mining add-on. The PLOS Text Mining Collection. [3] The programming language R provides a framework for text mining applications in the package tm. [4] The Natural Language Processing task view contains tm and other text mining library packages. [5] spaCy – open-source Natural Language Processing library for Python

  8. What Is Crypto Mining and How Does It Work? - AOL

    www.aol.com/finance/crypto-mining-does-220136944...

    Crypto mining is the way cryptocurrencies are put into circulation. Learn here how you can mine popular cryptos like bitcoin, ethereum, dogecoin and more. What Is Crypto Mining and How Does It Work?

  9. Piranha (software) - Wikipedia

    en.wikipedia.org/wiki/Piranha_(software)

    Piranha is a text mining system. It was developed for the United States Department of Energy (DOE) by Oak Ridge National Laboratory (ORNL). The software processes free-text documents and shows relationships amongst them, a technique valuable across numerous data domains, from health care fraud to national security.