D. Analyzer is one stop solution to analyze text data or audio files.
It will count the number of words, characters, and lines, but these are the basics.
Let's explore something advanced that is none other than the fact that it makes word cloud, performs sentiment analysis, and generates the summary. It also helps find the occurrence of a specific word.
- Streamlit: for front-end development.
- Speech_recognition: to convert audio to text for processing.
- NLTK: for text-based processing like removing stopwords, analyzing sentiments, etc.
- Wordcloud: To make the word cloud for the given input.
- Matplotlib for displaying the word cloud on the front-end.
- Spyder 5.0.3
- CMD
- Git Bash
- Heroku
- Windows 10
- sentiment analysis
- word cloud
- summary
- word count
- char count
- line count
- finding a specific word
- Open Git bash and clone this repo using:
git clone https://github.com/Ddhruv-IOT/D-Analyzer.git
- Install the dependncies using requirements.txt:
pip install -r requirements.txt
- Run the following command:
streamlit run text_analyzer.py
- Thank you all for using my app.
- All suggestions are warmly welcomed.