Gensim VS Kira

This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝. - Source: dev.to / over 1 year ago

Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: over 1 year ago

Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / almost 2 years ago

TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: about 2 years ago

For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 2 years ago

Kira (https://kirasystems.com/) uses AI to do contract analysis. Source: over 2 years ago

There are systems like Kira (https://kirasystems.com/) which is used in some firms (I know of at least one more but I forgot its name :/) It might also worth to look up what a legal technologist is :). Source: almost 3 years ago