Allennlp

This code defines a simple sentiment analysis model using components from the Allennlp library. It first defines a tokenizer, vocabulary, text field, label field, embedder, feedforward network, and regularizer. Then it creates an instance and trains a model. Finally, it defines a function that uses the model to predict the sentiment of an input sentence.

Text classification model 2024-12-16 12:16:37 17 views

re library

This function extracts keywords from a given text using regular expressions.

Function 2024-12-16 12:14:34 26 views

BeautifulSoup regular

Extracts email addresses from the given HTML content.

Function 2024-12-16 12:13:43 7 views

Python's built-in

The function tokenizes a given text using Byte Pair Encoding (BPE) codes, decomposing each word in the text into tokens represented by the BPE codes.

Function 2024-12-16 12:13:24 6 views

wtforms re

This function is used to validate whether the input string conforms to the format of an email address. If it does not conform, a ValidationError exception is raised.

Validation function 2024-12-16 12:13:08 5 views

Behave Regular

The function accepts two arguments, a string and a number, and extracts a number from the string. If the string does not contain any number, it returns the second argument.

Python Function 2024-12-16 12:11:58 8 views

Schedule

The function uses the Schedule library's every and repeat methods to schedule a task to be executed at regular intervals. It runs all scheduled tasks using the run_pending() method and then waits for the next task to execute using the sleep method.

Function 2024-12-16 12:08:26 3 views

Tweepy Regular

This code defines a function that analyzes tweets containing specific keywords. It uses the Tweepy library to connect to the Twitter API and cleans the tweets of URLs using regular expressions. The function takes two arguments: a dictionary containing Twitter API authentication information, and a dictionary containing the keywords.

The type of code 2024-12-16 12:07:54 3 views

Scrapy Selector

This function uses Scrapy's Selector to extract data from a simulated HTML response. Depending on the randomly selected method (CSS, XPath, or regular expression), the function returns the matching data.

Scrapy Selector Action 2024-12-16 12:07:15 3 views

APScheduler ThreadPoolExecutor

This Python script uses the APScheduler library to schedule a random task at regular intervals. It configures a thread pool executor and a background scheduler, then sets up the random task to run every 5 minutes.

Timed task execution 2024-12-16 12:07:07 9 views