NLProc

Building a Named Entity Recognition model

Building an ML model to extract entities such as dates, persons, geopolitical institutions

Building a Named Entity Recognition model

Visualizing and quantifying topics on Twitter

Using OSINT tools and Transformers to extract topics and sentiment from Elon Musk’s corner of the Twitter-sphere.

11 min read

Visualizing and quantifying topics on Twitter

Visualizing and quantifying topics on Twitter

Using OSINT tools and Transformers to extract topics and sentiment from Elon Musk’s corner of the Twitter-sphere.

Visualizing and quantifying topics on Twitter

What do UK employers want from a data scientist?

Extracting useful insights about the UK data science job market utilizing web-scraped data, NLP techniques and unsupervised learning in the form of topic modelling.

Ioana Fiona Preoteasa

What do UK employers want from a data scientist?

Latent Dirichlet Allocation: Intuition, math, implementation and visualisation with pyLDAvis

I explain the intuition behind LDirA and go through a worked example of applying and visualizing it to a canonical NLP dataset.

Ioana Fiona Preoteasa

Latent Dirichlet Allocation: Intuition, math, implementation and visualisation with pyLDAvis

1 | Basics of Self-Attention

Breaking down the first part of transformer language models - the self-attention mechanism.

Ioana Fiona Preoteasa

1 | Basics of Self-Attention

Sentiment Analysis with Pytorch

Built a sentiment classifier using Pytorch and deployed using AWS Lambda and Sagemaker.

Sentiment Analysis with Pytorch

Latent Semantic Analysis: intuition, math, implementation

I explain the intuition behind Latent Semantic Analysis (LSA) and go through a worked example of applying and visualizing it to a canonical NLP dataset.

Ioana Fiona Preoteasa

Latent Semantic Analysis: intuition, math, implementation

Analysing scraped job data

Webscraped, cleaned and analysed job posts for different types of data science specialists.

Analysing scraped job data