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How to create a dataset for emotion classification?
I’m looking for a dataset for moods or emotions (Happy, Angry, Sad) classification. That’s to classify the sentiment of a given text. I would like to use Naive Bayes classifier for this analysis.
Which is the best emotion sensor data set?
Emotions Sensor Data Set Contain Top 23 730 English Words Classified Statistically Using Naive Bayes Algorithm Into 7 Basic Emotion Disgust, Surprise ,Neutral ,Anger ,Sad ,Happy and Fear. -First We Collected Thousands of Sentences , Blogs and Twitters .
How many classes of emotions are there on Twitter?
We hope to propose a new approach that can improve classification accuracy by a appreciable amount. Our training and validation dataset is comprised of 47,288 tweets from Twitter with labelled emotions of five classes: neutral, happy, sad, anger, hate.
How much accuracy does tlkh have in emotion classification?
Our training and validation dataset is comprised of 47,288 tweets from Twitter with labelled emotions of five classes: neutral, happy, sad, anger, hate. We have achieved a positive result by achieving more than 62% overall classification accuracy and precision. Jupyter Notebook: 62.29% peak validation accuracy, 0.62% overall precision.
How can emotion dataset be used in NLP?
Collection of documents and its emotions, It helps greatly in NLP Classification tasks List of documents with emotion flag, Dataset is split into train, test & validation for building the machine learning model Dataset helps the community to develop emotion classification models with NLP based approach.
How are emotion datasets used in machine learning?
List of documents with emotion flag, Dataset is split into train, test & validation for building the machine learning model Dataset helps the community to develop emotion classification models with NLP based approach. Few questions your emotion classification model can answer based on your customer review
How to find emotion dataset in Kaggle?
Apply up to 5 tags to help Kaggle users find your dataset. Collection of documents and its emotions, It helps greatly in NLP Classification tasks List of documents with emotion flag, Dataset is split into train, test & validation for building the machine learning model