Subscribe
Sign in
Start new thread
All
General
p/general
Share and discuss tech, products, business, startups, or product recommendations
Sergei Petrov

Can you recommend open source AI libraries for text analysis?

22
•

Add a comment

Replies
Best
PRIYANKA MANDAL
NLTK, spaCy, Gensim, Scikit learn, TensorFlow.
Apoorva Goel
Textblob, Genism,SpaCy, Polyglot, Scikit-learn,NLTK
Niklas Mengele
@apoorva_goel3 do you have with some of these already a little experience?
Dennis Harris
TextBlob is a simple library for processing textual data. It provides a consistent API for diving into common natural language processing tasks.
Edena
Hugging Face's transformers library offers pretrained state-of-the-art language models like BERT, GPT and RoBERTa. So, pretty much as good as it gets. You can use it in TensorFlow and PyTorch DL frameworks, usually depending on what you are working with; both should be quite good for text analysis tasks.
Sergei Petrov
@edena did you try it with real tasks?
Sergei Petrov
@edena Great. Which one would you recommend trying first for comparative analysis of texts by meaning?
Edena
@sergeipetrov I've used BERT, DistilBERT and RoBERTa in Tensorflow for NLP tasks, and was quite happy with it. They're appropriate for your task as well. It's best to experiment with different models, and you can also try the GPT.
Qudsia Ali
Certainly! Some top open-source AI libraries for text analysis include NLTK, spaCy, Gensim, Scikit-learn, and TensorFlow/PyTorch. Each offers unique capabilities, so choose based on your project needs. Happy analyzing!
atul god
spaCy is an open-source library for advanced natural language processing in Python.
Sergei Petrov
@atul_god thanks, did you try it?
Dentist
Certainly! Some popular open-source AI libraries for text analysis include NLTK (Natural Language Toolkit), spaCy, Gensim, and TextBlob. These libraries offer a wide range of functionalities such as tokenization, part-of-speech tagging, sentiment analysis, and more, making them valuable resources for text analysis tasks. Alverna used it.
Absolutely, Sergei! For text analysis, you should definitely check out NLTK for natural language processing tasks, and SpaCy for more advanced text analytics and language understanding.
Swayam
Tensorflow