Features
Train Word2Vec, Doc2Vec, FastText models
Latent Semantic Analysis (LSA/LSI) training
Latent Dirichlet Allocation (LDA) training
Data streaming for arbitrarily large corpora
Similarity queries: most_similar, similarities
Pre-trained models via Gensim-data
Parallelized C routines for high performance
Cross-platform: Linux, Windows, macOS
Supports Python 3.8 to 3.11
Smart_open for remote storage access
Open-source (GNU LGPL license)
Commercial support available
Readable and extensible codebase
Natural language query input
Step-by-step solutions (Pro)
Algorithmic computation engine
Curated knowledgebase across domains
Visual plots and graphics
Unit and measure conversions
Physics and chemistry problem solver
Statistical analysis tools
Money and finance computations
Date and time calculations
Personal health and nutrition data
Mobile app for iOS and Android
Wolfram Problem Generator
