collections.defaultdict text.split

This function analyzes the sentiment of a given text by calculating the sentiment score using predefined sentiment words and returns the sentiment score and classification.

Function 2024-12-16 12:05:13 6 views

Python Babel

This function uses the Babel library for string formatting and translation. It uses the `defaultdict` from the `collections` module to create a default dictionary, and the `wraps` from the `functools` module to preserve the original function's metadata.

Python Function 2024-12-16 11:20:49 3 views

pytest random

This function accepts two arguments and generates a random dictionary by randomly selecting elements from two predefined lists as key-value pairs, and then returns the dictionary.

Function 2024-12-16 11:19:23 8 views

gensim corpora

The function uses the LdaMulticore model from the gensim library to perform topic modeling on a set of texts, returning the keywords for each topic.

Text analysis 2024-11-30 16:26:45 19 views

itertools collections.deque

This function is used to combine multiple iterable objects into tuples, if one of the iterable objects ends early, then fillvalue is used to fill the remaining positions.

Function 2024-11-30 15:33:11 4 views

collections.defaultdict itertools.zip_longest

The function merges multiple iterable objects, if one of the iterable objects is shorter, it will fill the remaining positions with a specified fill value.

Function 2024-11-30 15:25:26 3 views

itertools operator

This function uses `itertools.zip_longest` to merge multiple iterable objects, filling missing values with a specified fill value if their lengths are unequal. Then, it uses `operator.itemgetter` and `collections.defaultdict` to extract and flatten the result list.

Function 2024-11-30 15:11:19 5 views