semantic analysis

(noun)

The process of relating syntactic structures, from the levels of phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings, removing features specific to particular linguistic and cultural contexts, to the extent that such a project is possible.

Related Terms

Examples of semantic analysis in the following topics:

  • Types of Internet Advertising

    • Types of Internet advertising include banner, semantic, affiliate, social networking, and mobile.
    • For example, if a user is known to have recently visited a number of automotive websites based on clickstream analysis enabled by cookies stored on the user's computer, that user can then be served auto-related ads when they visit other, non-automotive sites.
    • Semantic analysis techniques are also used to accurately interpret and classify the meaning or context of the page's content and then populate it with targeted advertisements.
    • Semantic web content is closely linked to advertising to increase viewer interest engagement with the advertised product or service.

  • Social Media Marketing Communications

    • Today, new semantic analysis technologies allow marketers to detect buying signals based on shared and posted online content.

  • Social Behavior of Consumers

    • Observing and understanding how consumers behave and interact with each other has led to the introduction of new semantic analysis technologies allowing companies to monitor consumer buying patterns based on shared and posted content.

  • Qualitative and Quantitative Analysis

  • Conducting a Situational Analysis

    • The situation analysis consists of several methods of analysis: The 5Cs, SWOT and Porter's five forces analyses.
    • Customer analysis can be vast and complicated.
    • An analysis on the climate is also known as the PEST analysis.
    • Porter five forces analysis is a framework for industry analysis and business strategy development.
    • A SWOT analysis can be a useful tool in conducting a situational analysis.

  • Analyzing Data

    • In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).
    • All are varieties of data analysis.
    • Types of data analysis outputs: heat map, bar plots, scatter plots.
    • Researchers can set up a debriefing meeting to review the analysis.
    • Summarize the characteristics of data preparation and methodology of data analysis

  • Business Analysis

    • The first step in the business analysis process is to examine the projected demand for the product.
    • A complete cost appraisal is also necessary as part of the business analysis.
    • Based on these costs, the business analysis stage will estimate the likely selling price.
    • Financial ratio analysis allows an observer to put the data provided by a company in context.
    • Demonstrate knowledge of the components included in the business analysis stage of product development

  • Scanning and Analysis

    • One approach is the PEST analysis.
    • Of the four categories explored in the PEST analysis, the company has the least control over economic factors.
    • Two more factors, the environmental and legal factor, are defined within the PESTEL analysis (or PESTLE analysis).
    • The segmentation of the macro environment according to the six presented factors of the PESTEL analysis is the starting point of the global environmental analysis.
    • The six environmental factors of the PESTEL analysis are the following:

  • Marginal Analysis

    • Pricing decisions tend to heavily involve analysis regarding marginal contributions to revenues and costs.
    • Pricing decisions tend to heavily involve analysis regarding marginal contributions to revenues and costs.
    • In the marginal analysis of pricing decisions, if marginal revenue is greater than marginal cost at some level of output, marginal profit is positive and thus a greater quantity should be produced.
    • This series of cost curves shows the implementation of profit maximization using marginal analysis.
    • Identify the characteristics of a marginal price analysis relative to pricing decision making

  • Break-Even Analysis

    • In the linear Cost-Volume-Profit Analysis model, the break-even point - in terms of Unit Sales (X) - can be directly computed in terms of Total Revenue (TR) and Total Costs (TC) as: where TFC is Total Fixed Costs, P is Unit Sale Price, and V is Unit Variable Cost.
    • In terms of pricing decisions, break-even analysis can give a company a benchmark quantity of goods to be sold.
    • Some limitations of break-even analysis include:
    • It is only a supply side (i.e. costs only) analysis, as it tells you nothing about what sales are actually likely to be for the product at these various prices.