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The Jane Schaffer method is a formula for essay writing that is taught in some U.S. middle schools and high schools.Developed by a San Diego teacher named Jane Schaffer, who started offering training and a 45-day curriculum in 1995, it is intended to help students who struggle with structuring essays by providing a framework.
Topic analysis consists of two main tasks: topic identification and text segmentation. While the first is a simple classification of a specific text, the latter case implies that a document may contain multiple topics, and the task of computerized text segmentation may be to discover these topics automatically and segment the text accordingly.
When a thesis essay is applied to this format, the first paragraph typically consists of a narrative hook, followed by a sentence that introduces the general theme, then another sentence narrowing the focus of the one previous. (If the author is using this format for a text-based thesis, then a sentence quoting the text, supporting the essay ...
The topic sentence acts as a kind of summary, and offers the reader an insightful view of the writer’s main ideas for the following paragraph. [3] More than just being a mere summary, however, a topic sentence often provides a claim or an insight directly or indirectly related to the thesis. It adds cohesion to a paper and helps organize ...
In plaintext files, there are two common formats. The pre-formatted text will have a newline at the end of every physical line, and two newlines at the end of a paragraph, creating a blank line. An alternative is to only put newlines at the end of each paragraph, and leave word wrapping up to the application that displays or processes the text.
A thesis statement is a statement of one's core argument, the main idea(s), and/or a concise summary of an essay, research paper, etc. [1] It is usually expressed in one or two sentences near the beginning of a paper, and may be reiterated elsewhere, such as in the conclusion.
An example might be transforming an active voice sentence like "The cat chased the mouse" into a passive voice "The mouse was chased by the cat," where both the sentence structure and some words are altered. Syntax-based changes are primarily focused on the structure of the sentence rather than the words themselves.
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).