piyushmishradocker/texter repository overview

⁠Texter

Texter is a common platform for text analysis in your documents. It provides various activities such as text cleaning, emotion classification, summarization, and entity checking.

⁠Activities

• Text Cleaner

  • Normalize Case
  • Stopwords
  • Punctuations
  • Emails
  • Special Characters
  • Numbers
  • URLs

• Emotion Classifier

• Summarizer and Entity Checker

• About

⁠Docker Hub

• Install Docker on your system.

• Pull the Docker image from the following Docker Hub repository:

• Docker Image Link

• Open the terminal and run the following command to pull the Docker image:

docker pull piyushmishradocker/texter

• Run the following command to start the Docker container:

docker run -p 8501:8501 piyushmishradocker/texter

⁠Update and Enhancements

• Improved text cleaning capabilities with additional options for cleaning.

• Enhanced emotion classification with improved accuracy and performance.

• Added more summarization methods for better document summarization.

• Improved entity recognition with support for multiple languages.

• Added support for visualizing text analysis results using interactive charts and graphs.

• Improved user interface with a more intuitive and user-friendly design.

• Added support for analyzing text from URLs and downloading the analyzed results.

• Bug fixes and performance improvements.

⁠For more information and detailed usage instructions, please refer to the project documentation or visit the GitHub repository.

⁠We welcome contributions and feedback from the community to make Texter even better!

⁠Link to the Project

Github⁠