Text frequency analyser: Why is it a navigational instrument for deep content creation and data mining?
In the age of mass information, Text frequency analysis (Frequency Analysis) Not just as a foundation for encryption, but as a modern content marketing, SEO. (c) Optimization and core techniques of linguistic research. By quantifying a text, we can see the author's preferences, extract core keywords, or even pass. Entropy Calculates the information density of the text. Online text frequency analyser A very simple and powerful window is available to help you see the data patterns behind the text.
1. What is the N-gram analysis and its importance?
Besides the basic word and word frequency, this tool has also introduced advanced ones. N-gram Analysis 。 N-gram refers to the N entries that appear continuously in the text. Pass. N-gram, you can identify the fixed mix in text, the commonly used phrases, and the potential semantic mode. For example, in In the 2-gram (Bigram) analysis, “content marketing” is considered a whole, which better reflects the true subject of the text than a separate analysis of “content” and “marketing”.
2. Addressing specific pain points in the SEO and content optimization
Painful one: The risk of a keyword stacking. SEO Through word frequency analysis, experts can accurately control the frequency of occurrence of core keywords (Density) and avoid being penalized by search engines for over-optimization.
Pain 2: The readability assessment of the article. By analysing the word frequency distribution and the single item ratio, the creator can judge whether the article is too repetitive or too obscure to optimize the reader ' s reading experience.
Pain: Style migration and simulation. The study of the verb frequency characteristics of a particular writer can help imitate his writing style or conduct author identification in academic research.
Scientific understanding of “information entropy”
Information entropy is an indicator of information uncertainty. The higher the entropy value in the text analysis, the more even the vocabulary is distributed and the greater the amount of information; The lower the entropy, the higher the word concentration and repetition. This indicator allows you to quantify the “gold” of a report or tweet.
4. Operational guidance and best practices
- Select the appropriate mode: In English, the word frequency analysis is recommended, while Chinese poetry is recommended for word frequency analysis, while the preferred word "N-gram" is for deep semantic excavation.
- Reasonable use of pre-treatment: Ignored points and case descriptions allow for the consolidation of duplicate items and make the statistical results more representative.
- Export data: You can quickly adjust your article structure or keyword policy to the frequency ranking.
Data reveals patterns, patterns guide creation. Enter text immediately, open your text-diving trip!