spaCy

This function uses the spaCy library to analyze the sentiment of the input text and returns the sentiment result (positive, negative, or neutral).

Function 2024-12-16 12:17:49 26 views

Flair TextClassifier

This function uses a pre-trained text classifier from the Flair library to perform sentiment analysis on the given text and returns the predicted sentiment category.

Text classification 2024-12-16 12:17:23 27 views

TextBlob sentiment

This code defines a function to analyze the sentiment polarity and subjectivity of a text. Sentiment polarity is a value between -1 and 1, where 1 represents very positive sentiment, -1 represents very negative sentiment, and 0 represents neutral. Subjectivity is a value between 0 and 1, where 1 represents very subjective, and 0 represents very objective.

The type of code 2024-12-16 12:17:23 13 views

TextBlob

This function uses the TextBlob library to analyze the sentiment polarity and subjectivity of a given text. Sentiment polarity is a value between -1 (very negative) and 1 (very positive), and subjectivity is a value between 0 (very objective) and 1 (very subjective).

Function 2024-12-16 12:17:12 14 views

Flair TextClassifier

The function generates a specified number of random words, which are selected to be positive sentiment. It uses the TextClassifier from the Flair library to classify the generated words.

Function 2024-12-16 12:16:57 25 views

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

Huggingface Transformers

This function uses a pre-trained model from the Huggingface Transformers library to classify the sentiment of the input text, determining whether the text is positive or negative.

The type of code 2024-12-16 12:16:17 24 views

nltk (Natural

This function uses several components from the nltk library to analyze the sentiment of text. First, it uses word_tokenize to split the text into words, then it uses stopwords to remove common stopwords, followed by using WordNetLemmatizer for lemmatization, and finally, it uses the VADER sentiment analyzer to calculate the sentiment score for each word and computes the overall sentiment score for the text.

The type of code 2024-12-16 12:15:46 20 views

Flair TextClassifier

This function uses a pre-trained sentiment classifier from the Flair library to classify the sentiment of the input text and returns the sentiment label (e.g., positive, negative).

Text classification 2024-12-16 12:15:40 23 views

Huggingface Transformers

The function uses the pipeline feature from the Huggingface Transformers library to perform sentiment analysis on the input text, returning sentiment and confidence scores.

The type of code 2024-12-16 12:15:23 28 views