Phrase extraction in String using Python

Phrase extraction in Python is the process of identifying meaningful words from a text context. In this, the text is divided into sentences, phrases, words etc. and these phrases are displayed with full meaning. This process is useful in areas such as text analysis, machine learning, and supply-demand identification (information retrieval).

Phrase extraction can be used in normal language processing (NLP) tasks to separate phrases from sentences. It can help to recognize words that are known as phrases and can be used for translation, summarising etc.

Here we have some method to phrase extraction.

Method 1

Using list slicing, enumerate(), and list comprehension.

This problem can be resolved by combining the techniques mentioned above. In this, we extract the space indexes and slice based on the space indexes.

Example 1

string = 'Website Tutorialspoint is best for reading Python and writing.'

# printing original string
print("Original string : " + str(string))

X = 3

# Using list slicing, enumerate(), and list comprehension.
res = [n for n, i in enumerate(string) if i == ' ']
result = string[res[X - 3]: res[-(X - 1)]].strip()

# printing result
print("After Phrase Extraction String : " + str(result))

Output

Original string : Website Tutorialspoint is best for reading Python and writing.
After Phrase Extraction String : Tutorialspoint is best for reading Python

In this code, first prints the original string given by the user. Then we denote a new variable X with the number 3 set to it. After that we list the locations of all the spaces in the string and store it in a variable called res. Next we extract the part between the number removed from the list of spaces (which is 3 less than X) and the number greater than it (which is -(X - 1)). Then we clean it from the 0’s of the string and the phrase that has been extracted is displayed.

Example 2

string = 'Hi! Welcome in tutorialspoint for reading.'

print("Original string is : " + str(string))

x = 2

# Using list slicing, enumerate(), and list comprehension.
res = [n for n, i in enumerate(string) if i == ' ']
result = string[res[x - 2]: res[-(x - 0)]].strip()

print("After Phrase Extraction String : " + str(result))

Output

Original string is : Hi! Welcome in tutorialspoint for reading.
After Phrase Extraction String : Welcome in tutorialspoint

In this code, first we define the string and print the original string that is defined by the user. Then we take a new variable ‘x’ with number 2. After that, we create a variable ‘res’ and list the positions of every space in it. Then we have to extract some phrases from the string and store it in a variable called ‘result’ and print it.

Method 2

By using split() and join() methods.

Example 1

string = 'Website Tutorialspoint is best for reading Python.'

# printing original string
print("Original string is : " + str(string))

x = 3

# Using split() and join()
result = ' '.join(string.split()[x:-(x - 2)])

print("After Phrase Extraction String is : " + str(result))

Output

Original string is : Website Tutorialspoint is best for reading Python.
After Phrase Extraction String is : best for reading

In this code, first we initialise the string and print it. Then we create a new variable ‘x’ with number 3. After that we extract three phrases from the starting and one phrase from the ending within a given string and store them in a new variable called ‘result’. At last we have printed the extracted string.

Example 2

string = 'Hi! Welcome in tutorialspoint for reading purposes.'

# printing original string
print("Original string is : " + str(string))

x = 4

# Using split() and join()
result = ' '.join(string.split()[x:-(x - 3)])

print("After Phrase Extraction String : " + str(result))

Output

Original string is : Hi! Welcome in tutorialspoint for reading purposes.
After Phrase Extraction String : for reading

In this code, first we initialize the string and print it. Then we create a new variable ‘x’ with number 4. After that we extract four phrases from the starting and one phrase from the ending within a given string and store them in a new variable called ‘result’. In the end we have printed the extracted string.

Conclusion

In conclusion, we have seen that it is a possible and safe process to extract phrases in a string using Python. We have provided guidance on how to perform this task using different techniques. Extracting phrases can be important when we need to identify and refer to features. With the help of Python, we can easily extract phrases from strings and use them in our projects. Most of the rules, techniques and applications can be used in this process, and we can adapt it to your needs. Therefore, extracting phrases from strings using Python is a useful skill that you can add to your coding skills.