The Sentiment Analysis plugin is a powerful tool that allows users to perform in-depth sentiment analysis on any text leveraging large language models. Whether you need to understand customer feedback, analyze user comments, or explore the emotional tone of a text, this tool offers a range of functionalities to suit your needs. Explore below to find out how you can unleash the power of sentiment analysis with ease!
- Deep Analysis: Dive into the sentiment of any text and gain detailed feedback.
- State-of-the-Art Models: Utilize cutting-edge NLP models to derive accurate sentiment scores and rich contextual interpretations.
- Complete Overview: Access all sentiment analysis results, including historical data, for a comprehensive view.
- User-Specific Insights: Retrieve analysis results specific to individual users or contexts.
/analyze - we use this README.md in our analysis
/feedback - we use this README.md in our analysis
- Organize Your Data: Easily manage and remove specific sentiment analysis results to keep your data organized and relevant.
/score - we use this README.md in our analysis
- Quick Insights: Obtain the sentiment score of a given text to swiftly gauge its overall emotional tone.
- Install the Sentiment Analysis Tool.
- Use the following commands to interact with the tool.
Here’s a list of available commands to execute your sentiment analysis:
- /analyze: Analyze the sentiment and receive comprehensive feedback.
- /checkthis: An alias for
- /feedback: Another alias for
- /deletesentiment: Delete a specific sentiment analysis result.
- /score: Quickly get the sentiment score of a given text.
- /instructions: Need help? Retrieve instructions on API interaction.
- Prompt to generate Report or an Essay.
- View the generate Table feature when you want to consolidate your analysis session.
- Ask direct questions, “Perform a sentiment analysis on…”
- Social Influence.
In this example I run an analysis on my own Twitter Analytics. I want to know about my sentiment and analytics on sone posts. I use:
Generate an /analysis on this data
A few words and some analytics and you can have feedback that speaks towards the semantics and meaning within words, your words.