Nepali Sentiment Analysis This program uses machine learning to perform sentiment analysis on Nepali text. It is trained on a dataset of Nepali sentences with corresponding positive or negative sentiment labels.

Installation To use this program, you need to have Python 3 and the following libraries installed:

pandas scikit-learn nltk You can install them using pip:

Copy code pip install pandas scikit-learn nltk Usage Clone this repository to your local machine.

Open the nepali_sentiment_analysis.ipynb notebook using Jupyter or Google Colab.

Run the notebook and follow the instructions to train the model on your own dataset or use the pre-trained model to predict sentiment on Nepali text.

Example Here's an example of how to use the pre-trained model to predict sentiment on Nepali text:

python Copy code from nepali_sentiment_analysis import NepaliSentimentAnalyzer

Load the pre-trained model

analyzer = NepaliSentimentAnalyzer()

Predict sentiment on a list of Nepali sentences

sentences = ['केहि ठिक छैन।', 'मैले यो फिल्म मन पर्यो।', 'यो किताब राम्रो छ।'] predicted_sentiments = analyzer.predict(sentences)

Print the predicted sentiments

print('Predicted sentiments:', predicted_sentiments) This will output the predicted sentiment labels for each sentence.

License This program is licensed under the MIT License. See the LICENSE file for details.