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In order to perform a profitability analysis, all costs of an organisation have to be allocated to output units by using intermediate allocation steps and drivers. This process is called costing. When the costs have been allocated, they can be deducted from the revenues per output unit. The remainder shows the unit margin of a product, client ...
Relate unstructured text with structured data such as dates, numbers or categorical data for identifying temporal trends or differences between subgroups or for assessing relationship with ratings or other kind of categorical or numerical data. Visualization tools to visualize and interpret text analysis results: Dendrogram with optional bar chart
A company's earnings before interest, taxes, depreciation, and amortization (commonly abbreviated EBITDA, [1] pronounced / ˈ iː b ɪ t d ɑː,-b ə-, ˈ ɛ-/ [2]) is a measure of a company's profitability of the operating business only, thus before any effects of indebtedness, state-mandated payments, and costs required to maintain its asset base.
The six forces model is an analysis model used to give a holistic assessment of any given industry and identify the structural underlining drivers of profitability and competition. [ 1 ] [ 2 ] The model is an extension of the Porter's five forces model proposed by Michael Porter in his 1979 article published in the Harvard Business Review "How ...
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 ...
Noisy text analytics is a process of information extraction whose goal is to automatically extract structured or semistructured information from noisy unstructured text data. While Text analytics is a growing and mature field that has great value because of the huge amounts of data being produced, processing of noisy text is gaining in ...
Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public.
It uses machine learning techniques to create a semantic interpreter, which extracts text fragments from articles into a sorted list. The fragments are sorted by how related they are to the surrounding text. Latent semantic analysis (LSA) is another common method that does not use ontologies, only considering the text in the input space.