Analysis of a Corpus of Poetry

The analysis of the poem corpus analyzes 1000 lines of poems (samples of 10 100 samples from 10 different authors) through a computerized poetry associative model. As a result of the analysis, the poet uses different measurable stress patterns, indicating that these patterns are likely to "fingerprint" individual writers. Furthermore, the analysis shows that the change in the weighing pattern is consistent with the aesthetics of popular poetry in the poet's writing period.

The corpus annotation involves constructing a text corpus and investigating specific language features by thoroughly analyzing the functions within it. The results of the analysis are usually inserted into the electronic version of the text as tags or comments. Because such an analysis is performed in a wide range of texts, we select examples for generalization, rather than allowing statistical analysis such as frequency, distribution, etc., it is more empirical to discover language phenomena It can be called a procedure. so. Once annotated, the corpus can be used for research intended for reproduction or further research. For example, Semino and Short (2004) employs this approach for their voice expression work. This is based on a phonetic expression classification system developed in the novel developed by Leech and Short (1981).

What is corpus linguistics? Corpus linguistics is a linguistic study and linguistic analysis method that uses a series of natural or "real word" texts called corpus. Corpus linguistics is used to analyze and study problems in several languages ​​and to provide unique insights into language dynamics making it one of the most widely used language methods I will. Because corpus linguistics involves the use of a large corpus of millions, even billions of words, it is great for computer use to determine the rules governing language and grammar (eg grammar or vocabulary) Dependent.

Corpus linguistics is a field of linguistics characterized by an empirical study of a very large text dataset (corpus). Because corpus linguistics is machine-based, it lacks the accuracy and contextual dependence of analysis by humans, but human analysis can not compare its scalability and reliability. Social media data includes images, sounds and videos, but still text data is dominant. In the next section we will explain various social media analytical methods that can be practically applied to solve IO problems, especially how to use text data. Table 3.1 summarizes the methods and sample applications described in this chapter.

Social media analysis to monitor the future social media course support information operation by the Department of Defense