As technology advances, we're seeing more artificial intelligence (AI) applications across various industries. One such application gaining traction in the legal sector is sentiment analysis.
Sentiment analysis is an AI-powered tool that allows legal professionals to better understand the documents they're reviewing by analysing the language used.
This blog post will explore sentiment analysis, how it works and how legal professionals use it.
- What is sentiment analysis?
- What can sentiment analysis be used for in law?
- How it works
- Exploring the RelativityOne sentiment analysis tool
- Final thoughts on sentiment analysis and the need for human intervention
What is sentiment analysis?
Sentiment analysis uses natural language processing (NLP), machine learning and AI to analyse and determine the sentiment, opinion or emotion expressed in text or speech. The process involves the analysis of words and phrases used in communication, as well as the context in which they're used. By doing so, the tool can configure whether the overall sentiment is positive, negative or neutral. The sentiment analysis tool within the RelativityOne platform currently offers four sentiments — positivity, negativity, anger and desire.
Sentiment analysis can be used to analyse a wide range of communications, such as social media posts, news articles and legal documents. The tool aims to better understand the sentiment surrounding a topic or individual.
What can sentiment analysis be used for in law?
Sentiment analysis can be applied to various industries. In the legal industry, the tool can be utilised in several ways, including:
