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This project seeks to find the similarity score between content on the page and title using cosine similarity from a word2vec model. Frequent words and randomly chosen words from each article were analyzed and compared against the title using three samples. Frequent words were found to have a higher similarity score with the title than random words. Word frequency helps you identify the most relevant keyword on the page. The bigger goal of the project is to develop a keyword suggestion tool. Identifying which keywords are most relevant in writing content is the first step.
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Detchou, Yabo Ornella, "Identifying The Relationship Between Page Content and Title" (2022). Senior Projects Spring 2022. 126.
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