You are chatting on WhatsApp and exchanging hilarious GIFs here and there. Have you noticed that those matching the subject of your recent conversation helpfully line up first? Have you ever wondered why? If humans are able to reconstruct thoughts from words, could computers do this as well? Source: Towards Data Science The gist of…
So far I’ve looked at analysing tweets without paying much attention to data management. Today, I will show you how to organise tweets into a structured schema and store them in a database. This post is part of a series. I encourage you to catch up with the part 1 and part 2, if you’ve…
In my previous post I introduced CoreNLP as a viable solution for sentiment analysis. Today, I will show you how to use the library in practice. We will start with understanding the data model and break down the algorithm for calculating the tweet sentiment. Objectives Our objective is to assess an emotional load, a sentiment,…
Most of what I’ve done in the space of NLP was for obvious reasons coded up in Python. In my day job I primarily work with JVM. Wouldn’t it be cool if one could build something close to NLP / machine learning with .. say Scala? Well, Stanford CoreNLP has a good reputation and is…
With the rise of machine learning, NLP has become accessible to a wider developer community. This post gives an overview of 15 libraries worth a try in 2020.
Data is gold and time is of essence. Would’t it be great to get a summary of an elaborate article, latest news or a complicated piece of a legal text? Well, we aren’t quite there yet. Algorithms that generate concise information-rich summaries that make sense and are pleasant to read remain a tough challenge. Nevertheless,…