Aspect-Based Sentiment Analysis

Sentiment Analysis

The computational study of people's opinions, emotions, and attitudes expressed in text.

Text Classification

The task of assigning predefined categories or labels to text documents based on their content.

Text Summarisation

The process of creating a concise and coherent summary of a longer text document while preserving key information.

Topic Modelling

An unsupervised technique for discovering abstract topics that occur in a collection of documents.

Abstractive Summarisation

A text summarisation approach that generates novel sentences to capture the essential meaning of a document, rather than simply extracting and rearranging existing sentences.

Training a language model to follow natural language instructions by fine-tuning on instruction-response pairs.

Connecting language model outputs to real-world knowledge, facts, or data sources to improve factual accuracy.

The component of conversational systems that tracks conversation state, determines the next system action, and maintains coherent multi-turn interactions with users.

The technology that converts spoken language into text, also known as automatic speech recognition.

The classification of user utterances into predefined categories representing the user's goal or purpose, a fundamental component of conversational AI and chatbot systems.

The capability of language models to accurately interpret and execute natural language instructions, a core skill developed through instruction tuning and alignment training.

The method of dividing long documents into smaller segments for embedding and retrieval, balancing context preservation with optimal chunk sizes for vector search accuracy.

The task of extracting specific parameter values from user utterances to fulfil a detected intent, such as identifying dates, locations, and names in booking requests.