What is the word frequency analysis of text?
Text word frequency analysis (Word Freegency) Analysis is one of the most basic and most important techniques in the processing of natural languages (NLP). It helps us to quickly understand the core themes, key messages and language features of a text by measuring the number of times each word or word appears. From content creation to academic research, from SEO optimization to data mining, word-frequency analysis plays an essential role.
This tool is fully run on the browser side and does not need to upload data to the server to protect your privacy. The Chinese, English and Chinese texts are in support of the Chinese, English and Chinese versions. Provide word analysis, word analysis and sentence analysis of three modes and generate visual word cloud charts, with one key export of CSV format the results.
Core application scenario for word frequency analysis
1. SEO Content Optimization
In the search engine optimization (SEO), word frequency analysis is the basic tool for the detection of keyword density. By analysing the competing pages, it is possible to identify key words that are frequently used, thereby optimizing their content strategies. It is generally recommended that target keywords be contained in density range between 1 and 3 per cent and that they be overestimated by the search engine as a keyword stack.
2. Academic papers and literature research
In literary research, word frequency analysis reveals author style and linguistic preferences. For example, the analysis of the many works of a writer and the accounting of the most common terms used in them can be used to study their writing characteristics quantitatively. In the social sciences, word-frequency analysis of a large number of news articles or social media content is conducted, The trend in social topics can be tracked.
3. Analysis of user feedback and comments
A large number of user reviews, client logs or questionnaire responses are entered into the word frequency tool, which quickly identifies the points of greatest interest to users. Often, the often negative terms (such as "slow", "crash", "refund") point directly to improvements in the product. It is far more efficient than reading by article.
4. Text summaries and keyword extraction
The word frequency combination TF-IDF algorithm (the word frequency-reverse document frequency) is the core method for automatic summary and keyword extraction. The article is a quick-generated article label, which is used to extract high-frequency and important words from long articles. Helps the content management system to automatically classify articles.
5. Language learning and terminology expansion
Foreign language learners can enter their articles in the target language into this tool to find high frequency words they are not familiar with. The priority of reciting these words is to improve reading and understanding at the earliest possible opportunity. The study shows that 300 high frequency words are available in the target language. You can cover about 95% of the vocabulary coverage of the daily written language.
Analysis of the model details
Analysis of Terms (Recommended)
For Chinese text, the tool uses a simplified two-word slide window syllable policy, balancing speed and accuracy. For English text, automatically cut words by spaces and points. The model is appropriate for analysing the core vocabulary of the articles. It is the most frequently chosen model for daily use.
Word Analysis Mode
Splits text into single characters for statistical purposes. The Chinese text is particularly useful, and the most popular Chinese characters are found. The Chinese linguistics manual exercises or evaluates the distribution of Chinese words.
Sentence Analysis Mode
The frequency of each sentence is measured by a separator with a period, a question mark, an exclamation mark. It is appropriate to find the core arguments that have been repeatedly emphasized in the text or to test whether there are a large number of repeat sentences.
Filter Options Description
- Ignore case : convert the English text to lowercase and count it before "Apple" and "apple" are counted as different words
- Ignore Punctuations : remove comma, period and equivalents to avoid interference with word frequency statistics
- Ignore numbers : Filter all Arabic numerals for text analysis that does not focus on quantitative information
- Filter disabled words : remove the untruthful high frequency words "yes, yes, in, the " and so on, and make the results more focused on the substantive vocabulary
The meaning of the word cloud.
Word Cloud is the visual expression of word frequency data, and the font size of the word is proportional to its frequency of occurrence. By looking at the word cloud, the text is intuitively sensed of the thematic distribution and is more intuitive and readable than the table. Use 10 for this tool A different colour-segregated word with a font size of 12px to 38px, maximum 50 A high frequency word. Pauses the mouse on words to see the exact number of occurrences.
How to use this tool
- Paste or enter text to analyse into text box
- Check filter options as needed (recommended default settings: ignore case, ignore point)
- Select analytical mode (recommended: word analysis) and display quantity
- Click on the "start analysis" button, and the right side shows the word-sequencing lines and the word cloud.
- Click "Export CSV" to download the full result as Excel open table
- Click on Copy Line to copy the list text to the clipboard