Financial Services Data model

Financial Services Data model

&nbsp Customer profile A large local Twin Cities financial services organization with a national presence. Customer’s challenge Our customer had multiple systems (acquired through acquisitions) that were actively providing similar information…

Semantic Grids

Semantic Grids

In case all this sounds new to you, Sass is a preprocessor for CSS that can help improve your CSS workflow tremendously. Bourbon is a set of mixins for Sass that enhances and extends Sass’s power. If you’re not familiar with Sass and Bourbon check out…

Latent Semantic Analysis

Latent Semantic Analysis

One component of the system described therein that I m currently grappling with is the difference between Latent and Explicit Semantic Analysis. I ve been writing up a document to encapsulate my understanding but it s somewhat, cobbled together , from…

Semantic Data Modeling

Semantic Data Modeling

A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction…

Frame semantics

Frame semantics

Frame semantics is a theory of linguistic meaning developed by Charles J. Fillmore that extends his earlier case grammar. It relates linguistic semantics to encyclopaedic knowledge. The basic idea is that one cannot understand the meaning of a single…

Semantic security

Semantic security

Abstract: At CRYPTO 2013, Boneh and Zhandry initiated the study of quantum-secure encryption. They proposed first indistinguishability definitions for the quantum world where the actual indistinguishability only holds for classical messages, and they…

Neuro semantics

Neuro semantics

“There are no un-interesting things; there are only un-interested people.” Lord Chesterton I was sitting at Starbucks a few days ago as I do every morning when I’m home and reading through a book when someone started up a conversation. He asked what I…

Semantics Example

Semantics Example

Semantics is interested in: How meaning works in language: The study of semantics looks at how meaning works in language, and because of this it often uses native speaker intuitions about the meaning of words and phrases to base research on. We all understand…

Semantic Relationships

Semantic Relationships

We’ve tried many semantic software platforms; both free and commercial, there are capable, compelling, and even fun tools with which to experiment out there. (Your definition of “fun” may vary.) It turns out, however, that real users of semantic software…

Semantic Mark-up

Semantic Mark-up

Of or relating to meaning, especially meaning in language. Of, relating to, or according to the science of semantics. OK, so semantic has to do with meaning but what has that got to do with coding web pages? Well, when referring to semantic mark-up…

Semantic search

Semantic search

Search is changing. David Amerland begins with this sentence in the foreword of his book, Google Semantic Search. If you are a long time user of the Internet and, more specifically, the search engines, you can see how the way we look for information has…

Top 5 Text Analysis & Text Mining Software

Top 5 Text Analysis & Text Mining Software

Top 5 Free Software for Text Analysis, Text Mining, Text Analytics : Text Analytics is the process of converting unstructured text data into meaningful data. List of the Top 20+ Free Software for Text Analysis, Text Mining, Text Analytics include QDA…

Semantics Metadata

Semantics Metadata

Metadata and Semantics is an edited volume based on the 2007 Conference on Metadata and Semantics Research (MTSR), now in its second meeting. Metadata research is a pluri-disciplinary field that encompasses all aspects of the definition, creation, assessment…

Semantic Errors

Semantic Errors

Errors occur during the parsing of input code, and are caused by grammatically incorrect statements. Typical errors might be an illegal character in the input, a missing operator, two operators in a row, two statements on the same line with no intervening…

Semantic properties

Semantic properties

Consider the Wikipedia article on Berlin. This article contains many links to other articles, such as «Germany», «European Union», and «United States». However, the link to «Germany» has a special meaning: it was put there since Berlin is the capital…

Semantic network Analysis

Semantic network Analysis

Keyphrases play a key role in text indexing, summarization and categorization. However, most of the existing keyphrase extraction approaches require human-labeled training sets. In this paper, we propose an automatic keyphrase extraction algorithm, which…

Define Semantic memory

Define Semantic memory

Let’s look more closely at the case of H. M., or as we now know him, Henry Gustav Molaison (see ). In 1953, the hippocampus, the amygdala, and some neighboring structures in the cortex on each side of Henry’s brain were removed because of severe epilepsy…

Indexing by Latent Semantic Analysis

Indexing by Latent Semantic Analysis

Latent semantic analysis (LSA) is mathematical method for computer modeling and simulation of the meaning of words and passages by analysis of representative corpora of natural text. LSA closely approximates many aspects of human language learning and…

Semantic triangle

Semantic triangle

Givi Amaglobeli Abstract In this given work the Semantic Triangle will be examined. This is the most important point of Semantics in general. We will discuss a modern concept of the Semantic triangle with its three basic components .They are: the Object…

Semantic Differential

Semantic Differential

Semantic differential Diagnostics Fig. 1. Modern Japanese version of the Semantic Differential. The Kanji characters in background stand for God and Wind respectively, with the compound reading Kamikaze . (Adapted from Dimensions of Meaning. Visual…

Semantic text Analysis

Semantic text Analysis

Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing methods cannot be easily applied. Second…