Sentiment Analysis

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.

Aspect-Based Sentiment Analysis

A fine-grained sentiment analysis approach that identifies opinions directed at specific aspects or features of an entity, such as a product's price, quality, or design.

A language model trained on text from dozens or hundreds of languages simultaneously, enabling cross-lingual understanding and generation without language-specific fine-tuning.

A two-stage retrieval process where an initial set of candidate documents is rescored by a more powerful model to improve the relevance ordering of search results.

Generative Pre-trained Transformer — a family of autoregressive language models that generate text by predicting the next token.

A database optimised for storing and querying high-dimensional vector embeddings for similarity search.

A parameter controlling the randomness of language model outputs — lower values produce more deterministic text.

A security vulnerability where malicious inputs manipulate a language model into ignoring its instructions or producing unintended outputs.

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

A generative probabilistic model for discovering topics in a collection of documents.