Freaks City

Selecting a Base AI Module You can build an AI module entirely from scratch, or adapt one of the thousands of existing open-source .NET AI projects available online. For this walkthrough, we’ll adapt Microsoft’s TextClassificationTF sentiment analysis example from the official .NET samples repository, which classifies input text as having eithe ...

NLP applications are widespread in today's world, with familiar examples including virtual assistants like Siri and Alexa. In this guide, we'll start by implementing a basic chatbot and then explore how to enhance its intelligence to make it more human-like in its thinking process. Chatbot Development To begin our NLP journey, you'll need to ma ...

Task Overview Sentiment classification is a fundamantal task in Natural Language Processing (NLP) that involves categorizing text (such as reviews or tweets) based on emotional sentiment (e.g., binary classification: positive/negative). In this tutorial, we'll use the IMDB movie review dataset to implement three different models using PyTorch. ...

Building a Simple Sentiment Classification Model in Keras To demonstrate how text can be processed and classified using neural networks, we construct a basic binary sentiment model that distinguishes between positive and negative phrases. This implementation uses Keras for building the network architecture with an embedding layer, sequence padd ...