July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Part-of-speech extraction
In our further analysis, we will only work on certain parts of speech that provide the most information about conversation topics. We'll now apply the power NLP technique of part of speech (pos) extraction using the framework of The Penn Treebank tagset is represented as follows with a tag code and description:
|
Number |
Tag |
Description |
|
1. |
CC |
Coordinating conjunction |
|
2. |
CD |
Cardinal number |
|
3. |
DT |
Determiner |
|
4. |
EX |
Existential there |
|
5. |
FW |
Foreign word |
|
6. |
IN |
Preposition or subordinating conjunction |
|
7. |
JJ |
Adjective |
|
8. |
JJR |
Adjective, comparative |
|
9. |
JJS |
Adjective, superlative |
|
10. |
LS |
List item marker |
|
11. |
MD |
Modal |
|
12. |
NN |
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