Date:
14 October 2022

Hybrid event

The October Drupal Meetup was significant because it was a hybrid event, with some of us attending in-person. This was the first physical Meetup in a while. The event was held at co-working space Inspire 9 and we also had lots of people calling in on zoom.

Natural language processing

The main part of the Meetup was a presentation by Govind Malu on natural language processing.

Exploring National Language Processing and its Application in Content Management Systems: summary of Govind’s presentation

This presentation by Govind Malu focuses on National Language Processing (NLP) and its versatile applications. The presentation dives into the definition of NLP, its significance in understanding human language and its potential to transform computer and robot behaviour to be more human-like.

Understanding Natural Language Processing (NLP)

NLP is a branch of artificial intelligence (AI) and computer science that enables computers to comprehend and interpret human language, both spoken and written. NLP seeks to bridge the gap between human linguistic understanding and computer interpretation, enabling machines to mimic human behaviour.

Key concepts in NLP

The presentation begins by explaining the fundamental components of NLP:

  • Natural language generation — converting structured data to human-like language

  • Natural language understanding — deciphering human language and converting it to structured data

NLP's growing importance

The presenter discusses the exponential growth of the NLP market, which is projected to reach billions of dollars by 2028. This underscores the increasing significance of NLP across various industries.

Phases of NLP

The presentation outlines the phases involved in NLP processing:

  1. Lexical analysis: Tokenisation, removal of insignificant words, stemming and lemmatisation are applied to convert raw text into meaningful tokens.

  2. Syntactic analysis: Also known as part-of-speech tagging, this phase assigns grammatical roles to words and structures sentences.

  3. Semantic analysis: This phase focuses on understanding the meaning behind words and sentences, identifying relationships and context.

  4. Discourse analysis: The presenter explains how discourse analysis uncovers the motivation behind the text and identifies co-reference and structure.

  5. Pragmatic analysis: This phase delves into the contextual meaning of words and phrases, discerning intentions and actions.

NLP's integration with content management systems (CMS)

The presenter emphasises NLP's potential application within CMS environments and highlights various use cases:

  • Content classification: NLP can automate the process of tagging and categorising content, enhancing content organisation and searchability.

  • Sentiment analysis: Using NLP, CMS platforms can automatically analyse user feedback and comments to determine whether they express positive, negative or neutral sentiments.

  • Text summarisation: NLP can generate concise summaries of lengthy articles or content, helping users quickly grasp key points.

  • Image metadata generation: NLP can be employed to analyse images and generate alt text, titles and descriptions, ensuring images are accessible and informative.

  • Duplicate content detection: NLP can help identify instances of duplicate content within websites, helping SEO optimisation and content management.

  • Smart content editor: By incorporating NLP-driven auto-suggestion and auto-completion features, CMS platforms can enhance content creation and streamline user experience.

Demonstration of NLP modules in Drupal

A live demonstration showcases the implementation of NLP in a Drupal-based CMS:

  • Auto tagging: NLP algorithms automatically extract relevant tags from content and assign them based on their significance.

  • Text summarisation: NLP generates concise summaries of articles, helping readers to quickly understand content.

Conclusion

The presentation concludes by emphasising NLP's vast potential in transforming CMS platforms, making them smarter, more user-friendly, and capable of automating various content-related tasks. NLP's integration can enhance user experience, content organisation, and SEO, contributing to more efficient and engaging websites.