Open Issues Need Help
View All on GitHubAI Summary: This issue proposes adding a 'Copy to Clipboard' button to the analysis results section. This feature will allow users to easily copy the metrics for sharing or saving without manual text selection. Implementation involves adding the button to `index.html`, using JavaScript to handle the copy logic with `navigator.clipboard.writeText()`, and styling it with CSS.
Sentivore is a lightweight, client-side text analyzer template. Built with pure HTML, CSS, and JavaScript, it provides a clean and functional starting point for analyzing text. Features include word count, character count, sentence count, average word length, and top words.
AI Summary: This issue aims to refactor the `src/script.js` file to improve its readability and maintainability. The task involves breaking down the existing single block of code into separate, well-named helper functions (e.g., `calculateWordCount()`) without altering the current functionality.
Sentivore is a lightweight, client-side text analyzer template. Built with pure HTML, CSS, and JavaScript, it provides a clean and functional starting point for analyzing text. Features include word count, character count, sentence count, average word length, and top words.
AI Summary: This issue focuses on enhancing Sentivore's user interface to be fully responsive on mobile and tablet devices, as the current layout is desktop-centric. The task involves utilizing CSS media queries within `src/style.css` to adjust layouts, font sizes, and padding for optimal display on smaller screens, thereby improving accessibility and user experience.
Sentivore is a lightweight, client-side text analyzer template. Built with pure HTML, CSS, and JavaScript, it provides a clean and functional starting point for analyzing text. Features include word count, character count, sentence count, average word length, and top words.
AI Summary: This issue proposes adding a sentiment analysis feature to Sentivore, allowing it to determine the emotional tone (positive, negative, or neutral) of text. The implementation suggests a lexicon-based approach, involving updates to `script.js` for analysis logic, `index.html` for displaying results, and `style.css` for visual representation.
Sentivore is a lightweight, client-side text analyzer template. Built with pure HTML, CSS, and JavaScript, it provides a clean and functional starting point for analyzing text. Features include word count, character count, sentence count, average word length, and top words.