Generate Text Bigrams

Q: What is a 'bigram' in text analysis?

A **bigram** (or 2-gram) is a sequence of two adjacent elements from a string of tokens. In text analysis, this means two consecutive words. For example, in the sentence "The quick brown fox", the bigrams are "The quick", "quick brown", and "brown fox".

Q: How does the 'Stop Words' filter work for bigrams?

Our smart filter excludes a bigram if **either** of the words in the pair is a stop word. This helps you focus on meaningful content phrases like "machine learning" rather than noise like "in the" or "of a".

Q: Can I analyze bigrams from a PDF or Word doc?

Currently, we support **.txt, .md, .csv, and .json** file uploads. For PDF or Word documents, we recommend copying the text and pasting it directly into the input area for instant analysis.

Q: Is the bigram count case-sensitive?

It's up to you. By default, the tool is **case-insensitive** (treating "New York" and "new york" as the same). You can enable Case Sensitivity in the settings if exact capitalization matters.

Q: What is 'collocation'?

**Collocation** refers to a series of words or terms that co-occur more often than would be expected by chance. Bigram analysis is the most basic and effective way to find these natural word pairings in any text.

Q: How do I download the results?

Once your text is analyzed, click the **Export CSV** button to get a spreadsheet-ready file, or **Export JSON** for a programmatic format. You can also copy the list directly to your clipboard.

Q: Can this tool handle foreign languages?

Yes, it works with **any language** that uses spaces to separate words. The stop word filter is currently optimized for English, but the core bigram generation works universally.

Q: Does punctuation affect the bigrams?

By default, we **ignore punctuation** to capture phrases that might span across commas or quotes. However, you can choose to preserve punctuation if sentence boundaries are important to your analysis.

Q: Is my data processed securely?

Absolutely. All processing happens **client-side in your browser**. We do not store, record, or transmit your text data to any server. Your privacy is guaranteed.

Extract and analyze 2-word phrase frequencies from your text.

Source Text

508 chars71 words

Bigrams (68)

Bigram

Count

insights from

2.86%

knowledge and

2.86%

a broad

1.43%

a subset

1.43%

across a

1.43%

actionable insights

1.43%

algorithms and

1.43%

algorithms which

1.43%

an interdisciplinary

1.43%

and actionable

1.43%

and apply

1.43%

and insights

1.43%

and systems

1.43%

and unstructured

1.43%

application domains

1.43%

apply knowledge

1.43%

artificial intelligence

1.43%

broad range

1.43%

by feeding

1.43%

can modify

1.43%

creation of

1.43%

data across

1.43%

data and

1.43%

data science

1.43%

desired output

1.43%

domains machine

1.43%

extract knowledge

1.43%

feeding itself

1.43%

field that

1.43%

from data

1.43%

from noisy

1.43%

human intervention

1.43%

intelligence involved

1.43%

interdisciplinary field

1.43%

intervention to

1.43%

involved with

1.43%

is a

1.43%

is an

1.43%

itself through

1.43%

itself without

1.43%

learning is

1.43%

machine learning

1.43%

methods processes

1.43%

modify itself

1.43%

noisy structured

1.43%

of algorithms

1.43%

of application

1.43%

of artificial

1.43%

output by

1.43%

processes algorithms

1.43%

produce desired

1.43%

range of

1.43%

science is

1.43%

scientific methods

1.43%

structured and

1.43%

structured data

1.43%

subset of

1.43%

systems to

1.43%

that uses

1.43%

the creation

1.43%

through structured

1.43%

to extract

1.43%

to produce

1.43%

unstructured data

1.43%

uses scientific

1.43%

which can

1.43%

with the

1.43%

without human

1.43%

Settings

Stop WordsExclude common words (the, and, is)

Ignore CaseTreat "Word" and "word" as same

Ignore PunctuationRemove symbols like . , ! ?

Ignore NumbersExclude all numeric digits

Data Actions

Overview

Total Pairs70

Unique68

Top Bigraminsights from

Continue with Related Tools

Text Unigrams

Single word frequency.

Text N-grams

Custom N word sequences.

Text Skip-grams

Non-adjacent word pairs.

Discover Patterns with Bigram Analysis

The Generate Text Bigrams tool takes text analysis deeper than simple word counts. By analyzing pairs of consecutive words (bigrams), you reveal the context and structure of your content. Identify common phrases, repeated expressions, and powerful collocations that define your writing style or document topic.

Professional Features

Bigram Extraction

Instantly generate all valid 2-word combinations from your text.

Smart Filtering

Exclude common "stop word" pairs to surface meaningful phrases.

Data Export

Download frequency reports as CSV or JSON for further analysis.

File Support

Analyze entire documents by uploading .txt or .md files directly.

Frequency Stats

View count and percentage distribution for every bigram.

Deep Search

Filter and find specific bigrams within your results instantly.

Common Use Cases

SEO & Content Strategy

Identify "long-tail" keyword opportunities. "Marketing" is too broad, but "Content Marketing" or "Email Marketing" (bigrams) are actionable targets.

Plagiarism Detection

Unique bigram sequences are like fingerprints. Analyzing them can help identify copied content or verify authorship style.

Examples

Basic Extraction

Input:

New York City

Output (Bigrams):

1. New York
2. York City

Phrase Detection

Input:

I scream, you scream, we all scream for ice cream

Frequent Bigrams:

1. scream you (1)
2. you scream (1)
3. we all (1)
4. ice cream (1)

How to Use

Input Text: Paste your document or upload a file.
Configure: Enable "Stop Words" filter to remove common pairs like "in the".
Analyze: The tool automatically generates a frequency table of all 2-word combinations.
Search: Find specific bigrams using the real-time search bar.
Export: Save your insight reports as CSV or JSON files.

Frequently Asked Questions

What is a 'bigram' in text analysis?

A bigram (or 2-gram) is a sequence of two adjacent elements from a string of tokens. In text analysis, this means two consecutive words. For example, in the sentence "The quick brown fox", the bigrams are "The quick", "quick brown", and "brown fox".

Why are bigrams important for SEO?

Single keywords (unigrams) are often too broad. Bigrams help identifying long-tail keywords and specific intent. For example, "shoes" is vague, but "running shoes" or "buy shoes" (bigrams) indicates specific user intent.

How does the 'Stop Words' filter work for bigrams?

Our smart filter excludes a bigram if either of the words in the pair is a stop word. This helps you focus on meaningful content phrases like "machine learning" rather than noise like "in the" or "of a".

Can I analyze bigrams from a PDF or Word doc?

Currently, we support .txt, .md, .csv, and .json file uploads. For PDF or Word documents, we recommend copying the text and pasting it directly into the input area for instant analysis.

Is the bigram count case-sensitive?

It's up to you. By default, the tool is case-insensitive (treating "New York" and "new york" as the same). You can enable Case Sensitivity in the settings if exact capitalization matters.

What is 'collocation'?

Collocation refers to a series of words or terms that co-occur more often than would be expected by chance. Bigram analysis is the most basic and effective way to find these natural word pairings in any text.

How do I download the results?

Once your text is analyzed, click the Export CSV button to get a spreadsheet-ready file, or Export JSON for a programmatic format. You can also copy the list directly to your clipboard.

Can this tool handle foreign languages?

Yes, it works with any language that uses spaces to separate words. The stop word filter is currently optimized for English, but the core bigram generation works universally.

Does punctuation affect the bigrams?

By default, we ignore punctuation to capture phrases that might span across commas or quotes. However, you can choose to preserve punctuation if sentence boundaries are important to your analysis.

Is my data processed securely?

Absolutely. All processing happens client-side in your browser. We do not store, record, or transmit your text data to any server. Your privacy is guaranteed.