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Updated 10-lexical-dispersion-plot.md #11

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Updated 10-lexical-dispersion-plot.md #11

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6 changes: 3 additions & 3 deletions _episodes/10-lexical-dispersion-plot.md
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Expand Up @@ -4,7 +4,7 @@ teaching: 0
exercises: 0
questions:
- "How can I measure how frequently a word appears across the parts of a corpus?"
- "How can I plot the occurrences of a word and how many words from the beginning of the corpus it appears?"
- "How can I plot the occurrences of a word and find out after how many words from the beginning of the corpus, does this word appear?"
objectives:
- "Learn how to plot the occurances of specific words as they appear across a document or a corpus."
- "We will use the US Presidential Inaugural Addresses and which are provided with NLTK."
Expand All @@ -15,7 +15,7 @@ keypoints:

## Lexical Dispersion Plot

We can plot lexical dispersion of particular tokens. Lexical dispersion is a measure of how frequently a word appears across the parts of a corpus. This plot notes the occurrences of a word and how many words from the beginning of the corpus it appears (word offsets). This is particularly useful for a corpus that covers a longer time period and for which you want to analyse how specific terms were used more or less frequently over time.
We can plot lexical dispersion of particular tokens. Lexical dispersion is a measure of how frequently a word appears across the parts of a corpus. This plot notes the occurrences of a word and after how many words from the beginning of the corpus, this word appears (word offsets). This is particularly useful for a corpus that covers a longer time period and for which you want to analyse how specific terms were used more or less frequently over time.

To create a lexical disperson plot, you will first load and import a different corpus, the inaugural corpus which are all US Presidential Inaugural Addresses and which are provided with NLTK.

Expand Down Expand Up @@ -44,4 +44,4 @@ targets=['great','good','tax','work','change']
dispersion_plot(inaugural_texts, targets, ignore_case=True, title='Lexical Dispersion Plot')
```

<img src="../fig/output_9_0.png" width="700">
<img src="../fig/output_9_0.png" width="700">