Content Analysis

Content Analysis is very important component in the success of any web-based business. It is a replicable and systematic technique that is used in the web business by compressing the whole bunch of textual words into fewer categories based on several coding rules. It enables the content researchers to traverse through large quantities of data with a greater ease by making inferences using several data collection methods.

As always, content analysis is a powerful that is useful for determining the patterns and trends in the textual documents. It provides an empirical standard platform to monitor the shifts in the opinion of the public. It has got a variety of platforms with respect to its application. It is a lot helpful in outlining the document and monitoring the tendency. It is usually well heeled because of reliability in terms of coding and categorizing the data. In media corporations and organizations, its main function is to examine and modify its agenda.

As a part of its process, content analysis codes or breaks down the text into several convenient blocks or groups facilitating its purpose on the text. Broadly used as a research tool, the researchers perform quantization and analysis of the presence of the words and their relationships with the concepts and then make the inferences of these messages in the texts. The text can be regarding anything-informal conversation, theatre, advertising, general conversations, speeches, historical documents, articles, newspaper headlines, discussions, interviews, essays, chapters in a book or the book itself. Any text of this sort is coded, broken down into tiny categories of several levels that are manageable-theme, sentence, phrase, or word-and then analyzed using any of the tow basic methods of content analysis.

Content analysis generally has two basic methods-conceptual analysis and relational analysis. Conceptual analysis is the frequency and establishment of concepts often represented by phrases whereas the relational analysis has an edge over conceptual analysis. Relational analysis examines the relationship between/among the concepts present in the text. Conceptual analysis, also known as thematic analysis, is the process of quantifying and then tallying the concepts in a text. Relational analysis also termed as semantic analysis, as in the case of conceptual analysis, does the identification of the concepts in the given text and then tries to explore the relationships among the concepts identified.

To conduct an effective content analysis, it is very required to bear several things in mind. First of all, it is very important to decide on which text to be analyzed followed by how they are defined. The population from which the data is drawn also has to be analyzed. Last but not the lease, the boundaries of the analysis and the targets of the inferences are to be clearly analyzed.

No matter how you analyze the data, content analysis is the best tool to increase you presence in the web. It is a reliable and a systematic technique to compress the large text blocks into fewer manageable units based on several explicit coding rules. Though how simple content analysis may be, its utility do face few flaws with respect to non-mutually exhaustive and exclusive categories and faulty category definitions. Though it has its application traced back several years back, it still has its own significance. It is also considered as an effective tool for exploring mental models including their historical, cultural, social, cognitive, affective and linguistic difference.