python extract txts key content

Answer 1

The following are some common ways to extract the key content of a txt-file using Python:

** 1. Rule-based extraction (for example, using regular expressions)**
1. ** Simple text matching **
- If you want to extract specific words or phrases, you can use Python's're '(regular expression) module. For example, if you want to extract all the numbers from a TMT file, you can do this:
```python
import re
def extract_numbers_from_txt(file_path):
numbers = []
with open(file_path, 'r', encoding='utf - 8') as file:
text = file.read()
number_matches = re.findall(r'\d+', text)
for match in number_matches:
numbers.append(int(match))
return numbers
```
2. ** Extracting in a specific format **
- If the txt-file has a certain format, for example, each line is a record, and some of the fields have a specific format, you can use regular expressions to analyze it. For example, assume that each line in the txt-file is a person's information in the format of "Name: Age: ". To extract the age information:
```python
import re
def extract_ages_from_txt(file_path):
ages = []
with open(file_path, 'r', encoding='utf - 8') as file:
lines = file.readlines()
for line in lines:
age_match = re.search(r':(\d+):', line)
if age_match:
ages.append(int(age_match.group(1)))
return ages
```

** 2. Use natural language processing technology (if it is a text with semantics)**
1. ** Keyword extraction **
- If you want to extract the key content (keywords, etc.) in the text, you can use a tool like `Text Rank 4ZH`(for Chinese text). First, you need to install `Text Rank 4ZH`(For example,`pip install textrank4zh--user`). Then, you can extract keywords according to the following example:
```python
from textrank4zh import TextRank4ZH
def extract_keywords_from_txt(file_path):
tr4zh = TextRank4ZH()
with open(file_path, 'r', encoding='utf - 8') as file:
text = file.read()
tr4zh.analyze(text=text, lower=True, window=2)
keywords = tr4zh.get_keywords(num_keywords = 5)
return keywords
```
- Here,`nu_keywords = 5` means to extract 5 keywords,`lower=True` means to convert the text to lower case, and `window=2` is the window size of the parameters in the Text Rank algorithm.

2. ** abstract generation (extract key sentences)**
- Similarly, you can use 'Text Rank 4ZH' to generate a summary of the text (extract key sentences):
```python
from textrank4zh import TextRank4ZH
def extract_summary_from_txt(file_path):
tr4zh = TextRank4ZH()
with open(file_path, 'r', encoding='utf - 8') as file:
text = file.read()
tr4zh.analyze(text=text, lower=True, window=2)
summary = tr4zh.get_summary(num_sentences = 3)
return summary
```
- Here,`nam_sentences = 3` means to extract three key sentences as a summary.
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