Lexical Distinctiveness Analysis of Dr. Metablog

This analysis examines words that appear significantly more frequently in Dr. Metablog’s writing compared to general English usage, based on Google Books Ngram data.

Overview

  • Compared word frequencies in 1,209 blog posts against general English usage
  • Calculated “distinctiveness scores” (blog frequency ÷ general frequency)
  • Identified vocabulary that characterizes the author’s unique style and interests

Most Distinctive Words

The following words appear much more frequently in Dr. Metablog than in typical English:

Rank Word Distinctiveness Score Blog Occurrences Blog Frequency (per million) General Frequency (per million)
1 novel 79.2× 551 871.2 11.0
2 story 56.9× 324 512.3 9.0
3 poem 28.5× 126 199.2 7.0
4 literary 19.2× 73 115.4 6.0
5 fiction 19.0× 96 151.8 8.0
6 poetry 16.6× 105 166.0 10.0
7 author 15.2× 135 213.4 14.0
8 character 13.7× 104 164.4 12.0
9 reader 11.7× 111 175.5 15.0
10 text 11.4× 94 165.2 13.0
11 language 10.3× 261 412.7 40.0
12 book 9.2× 521 824.5 90.0
13 culture 9.0× 137 216.6 24.0
14 memory 8.9× 202 319.4 36.0
15 idea 6.5× 172 272.0 42.0

Word Categories Analysis

Literary Terms (Highly Distinctive)

These literary and academic terms appear at dramatically higher rates in the blog:

Word Score Blog Frequency (per million) General Frequency (per million)
novel 79.2× 871.2 11.0
story 56.9× 512.3 9.0
poem 28.5× 199.2 7.0
literary 19.2× 115.4 6.0
fiction 19.0× 151.8 8.0
poetry 16.6× 166.0 10.0

Academic Writing Terms (Moderately Distinctive)

Academic terminology appears at moderate but significant higher rates:

Word Score Blog Frequency (per million) General Frequency (per million)
theory 5.2× 159.0 48.0
context 5.3× 54.0 16.0
literature 6.1× 201.0 52.0
analysis 3.7× 119.4 55.0
discourse 4.1× 75.4 34.0

Specialized Knowledge Areas (Highly Distinctive)

These specialized terms indicate the author’s unique areas of expertise:

Word Score Blog Frequency (per million) General Frequency (per million)
Shakespeare 65.3× 462.0 7.0
amnesia 37.7× 64.1 1.7
sonnet 31.2× 46.8 1.5
Cornell 117.9× 354.0 3.0

Visualization

Distinctive Words

Methodology

This analysis used the following methodology:

  1. Extracted text from 1,209 blog post files
  2. Removed HTML tags, URLs, and special characters
  3. Tokenized text into individual words
  4. Calculated frequency per million for each word
  5. Compared against general English frequencies from Google Books Ngram corpus (1990-2000)
  6. Filtered to include only words appearing at least 5 times in the blog
  7. Excluded very common words (top 100 in English)
  8. Calculated distinctiveness scores (ratio of frequencies)

Interpretation

The distinctiveness analysis reveals a strong literary and academic focus in Dr. Metablog’s writing. The most distinctive terms relate to narrative forms (novel, story, poem), literary analysis (character, reader, text), and specific interests like Shakespeare and Cornell University.

The high distinctiveness scores for literary terms (many >20×) suggest the author is likely someone with advanced literary education and interests. The presence of specialized academic vocabulary confirms this profile.

These findings are consistent with the topic modeling analysis, which identified literature, Shakespeare, and academic topics as major themes. The rare word analysis further supports this profile, showing the author’s use of specialized vocabulary generally only known to literary scholars.

Together, these analyses paint a picture of an academically-oriented writer with deep literary knowledge and interests.