EDAKIT: Toolkit for data exploratory analysis

A tool for analysing sentiment in a given text-based query.

⚙️ Installation

pip install edakit

📖 Usage

    from eda import SentimentAnalyzer

    sentiment_analyzer = SentimentAnalyzer()
    # Example texts
    texts = [
        "This movie sucks",
        "This one is great",
        "The world is about to end",
    ]  
    pred_results = sentiment_analyzer.get_list_sentiment(texts=texts)
    # This should returns ["negative", "positive", "negative"]

⚖️ License

This repository is using the Apache 2.0 license that is listed in the repo. Please take a look at LICENSE as you wish.

✍️ BibTeX

If you wish to cite the framework feel free to use this (but only if you loved it 😊):

@misc{phat2020urbans,
  author = {Truong-Phat Nguyen},
  title = {EDAKIT: Toolkit for data exploratory analysis},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/TagHubAI/edakit}}

Contributors:

• Patrick Phat Nguyen