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How Does Our N-Gram Calculator Work?
- N-Grams: Our tool calculates and displays all n-grams (unigrams, bigrams, trigrams, and fourgrams) that appear more than once in your content.
As a bonus, we also tell you the number of characters, words, sentences, and paragraphs that you've used. You can also check out our character counter tool to see that in action.
The analysis works by first splitting the text into sentences. Then, for each sentence, it breaks down the content into words and generates the n-grams. The results are then filtered to exclude n-grams that appear only once or don't contain alphanumeric characters. Finally, the n-grams are sorted by frequency and presented in a user-friendly format.
What are N-Grams?
N-Grams are contiguous sequences of 'n' items from a given sample of text or speech. These items can be phonemes, syllables, letters, words, or base pairs, depending on the application. In the context of our tool and most text analysis applications, n-grams refer to sequences of words.
Here's a breakdown:
- Unigram (1-gram): A single word. For example, in the sentence "I love ice cream," the unigrams are "I," "love," "ice," and "cream."
- Bigram (2-gram): A sequence of two adjacent words. From the same sentence, the bigrams are "I love," "love ice," and "ice cream."
- Trigram (3-gram): A sequence of three adjacent words. In this case, the trigrams are "I love ice" and "love ice cream."
- Fourgram (4-gram): A sequence of four adjacent words. If our sentence was "I really love ice cream," the fourgram would be "I really love ice."
N-Grams are crucial in various applications, including:
- Text Analysis: They help in understanding the context and semantics of the text.
- Machine Learning and Natural Language Processing: N-grams are used in predictive text input, speech recognition, and machine translation.
- Search Engines: They help improve search accuracy by considering sequences of words rather than individual terms.
Understanding n-grams can offer deeper insights into the structure and patterns within a piece of text, making them invaluable for linguistic and computational analyses.
Are N-Grams The Best Form of Text Analysis?
While n-grams provide valuable insights into text patterns and structures, they are not the pinnacle of text analysis methods.
Within our paid software here at Content Harmony, our content optimization tool uses a more advanced topic modeling process. Within this toolset, we use an AI-driven keyword extraction processes that streamline the analysis by eliminating the need to sift through numerous synonyms and weird artifacts created by the n-gram process. This approach ensures more accurate and actionable insights for content creators and marketers.
That said, n-gram analysis remains a reliable and efficient method, especially when you're looking for a quick and straightforward analysis without the intricacies. It's a perfectly suitable free alternative for those who need an immediate overview without delving deep into the nuances of the content or using up paid credits. It's also super handy for analyzing content beyond articles and copy, like keywords in a CSV exported from other SEO tools.
What Can You Use Our N-Gram Calculator For?
N-Grams are useful for quickly understanding sub-topics talked about in content like:
- Excel Datasheets (paste all rows and see what keywords are used throughout)
- Blog posts & articles
- Landing page copy
- Social media posts for platforms like Twitter, Facebook, and Instagram
- Google Adwords copy
- And many other writing projects
Is Your Text Safe With Us?
Absolutely! We don't store any content you paste into the calculator. All computations are performed in your web browser using AlpineJS, which means no data is transmitted to our servers.
While we use tools like Google Analytics to monitor site traffic and interactions, we do not log form input in Google Analytics or any other tools.
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