MindsDB is an AI-powered data analytics tool that enables sentiment analysis and more.

MindsDB is a powerful tool that combines the capabilities of databases with the advanced language processing of OpenAI. It allows developers to easily extract insights from text data using just a few SQL commands. In this article, we'll explore how MindsDB can be used for sentiment analysis. To get started, you need to install MindsDB locally via Docker or Docker Desktop. Once installed, you can connect MindsDB to a MySQL database. For example, we create a database connection with the following command: CREATE DATABASE mysql_demo_db WITH ENGINE = 'mysql', PARAMETERS = { "user": "user", "password": "MindsDBUser123!", "host": "samples.mindsdb.com", "port": "3306", "database": "public" };. After connecting to the database, you can query the data to be used in the example. For instance, SELECT * FROM mysql_demo_db.amazon_reviews LIMIT 3; will retrieve a limited number of records from the amazon_reviews table. Next, we create a model table to identify sentiment for all reviews. Before creating an OpenAI model, an engine needs to be created by providing your OpenAI API key: CREATE ML_ENGINE openai_engine FROM openai USING openai_api_key = 'your-openai-api-key';. Then, the sentiment classifier model is created with the command: CREATE MODEL sentiment_classifier_model PREDICT sentiment USING engine = 'openai_engine', prompt_template = 'describe the sentiment of the reviews strictly as "positive", "neutral", or "negative". "I love the product":positive "It is a scam":negative "{{review}}.":';. Once the model is created, its status can be checked with DESCRIBE sentiment_classifier_model;. The model can be queried to obtain sentiment predictions for individual reviews or for batch predictions by joining with another table. MindsDB's integration with OpenAI provides developers with a straightforward way to incorporate powerful NLP capabilities into their applications, saving time and resources compared to traditional ML development methods. The MindsDB community is also actively contributing to numerous data-source and ML-framework integrations, making it an ever-growing and evolving platform. Whether you're working on content moderation, data analytics, or other tasks that require NLP capabilities, MindsDB offers a valuable solution.