Text Analytics Overview

Text analytics can analyze data from sources such as interviews, written reports, and customer communications across various platforms.

Unstructured qualitative data is characterized by its lack of predefined format and is often derived from open-ended responses, conversations, and personal expressions.

Text analytics can reveal customer motivations by analyzing their sentiments and feedback regarding the organization's values and actions.

<p>An essential factor is designing the human activities surrounding the use of the text analytics software to maximize its effectiveness.</p> Signup and view all the answers

<p>Examples of unstructured data sources include chat rooms and social media discussions.</p> Signup and view all the answers

<p>Text analytics offers organizations valuable insights into customer opinions by analyzing qualitative data to understand their thoughts and sentiments.</p> Signup and view all the answers

<p>Organizations consider text analytics important for relationship management because it helps unveil customer motivations for starting, maintaining, or ending relationships.</p> Signup and view all the answers

<p>Text analytics supports a qualitative approach by enabling rapid and visual analysis of text data, helping to extract insights effectively.</p> Signup and view all the answers

<p>Unobtrusive methods are less disruptive, allowing for the collection of data without interfering with the natural behavior of subjects.</p> Signup and view all the answers

<p>Sampling helps in containing costs, speeding up data gathering, and reducing potential biases in the data collected.</p> Signup and view all the answers

<p>Qualitative data can be analyzed through qualitative document analysis and text analytics to interpret patterns and meanings.</p> Signup and view all the answers

<p>The STR OBE technique involves systematic observation to understand decision-makers' environments and behaviors.</p> Signup and view all the answers

<p>Using multiple methods ensures a comprehensive understanding and reduces the limitations that come with relying on a single approach.</p> Signup and view all the answers

<p>Text analytics helps in extracting meaningful insights and identifying trends from qualitative communications.</p> Signup and view all the answers

<p>The sampling process involves systematically selecting representative elements of a population to focus efforts on the most pertinent data.</p> Signup and view all the answers

<p>The two key decisions are determining what to examine and selecting which people to consider.</p> Signup and view all the answers

<p>A good sample ensures that the findings are representative and can be generalized to the larger population.</p> Signup and view all the answers

<p>Quantitative document analysis focuses on numerical data, while qualitative document analysis interprets non-numerical data for insights.</p> Signup and view all the answers

<p>Observation allows researchers to gather firsthand evidence and insights, enhancing the reliability of data capture.</p> Signup and view all the answers

<p>Differentiating allows stakeholders to assess both the numbers and the storytelling behind performance, leading to better decision-making.</p> Signup and view all the answers

<p>Text analytics helps in extracting meaningful patterns and insights from large volumes of unstructured text data.</p> Signup and view all the answers

<p>STROBE provides a framework for systematically comparing observational data with interview results to identify consistencies or discrepancies.</p> Signup and view all the answers

<p>A larger sample size generally increases the reliability of results by reducing the impact of outliers and variability.</p> Signup and view all the answers

<p>Hard data refers to quantitative data that can be measured and verified, providing objective evidence.</p> Signup and view all the answers