Sentiment Analysis Dataset

This dataset is a large-scale collection of 241,000+ English-language comments sourced from various online platforms. Each comment is annotated with a sentiment label:

0 — Negative 1 — Neutral 2 — Positive The Data has been gathered from multiple websites such as : Hugginface : https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset Kaggle : https://www.kaggle.com/datasets/abhi8923shriv/sentiment-analysis-dataset https://www.kaggle.com/datasets/jp797498e/twitter-entity-sentiment-analysis https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment The goal is to enable training and evaluation of multi-class sentiment analysis models for real-world text data. The dataset is already preprocessed — lowercase, cleaned from punctuation, URLs, numbers, and stopwords — and is ready for NLP pipelines. 📊 Columns Column Description Comment User-generated text content | Sentiment| Sentiment label (0=Negative, 1=Neutral, 2=Positive) | 🚀 Use Cases 🧠 Train sentiment classifiers using LSTM, BiLSTM, CNN, BERT, or RoBERTa 🔍 Evaluate preprocessing and tokenization strategies 📈 Benchmark NLP models on multi-class classification tasks 🎓 Educational projects and research in opinion mining or text classification

Original Data Source: Sentiment Analysis Dataset

Comment: "apple pay is so convenient secure and easy to use"
Sentiment: 2 (Positive)