Gensim Reviews & Product Details

INdexing and retrival of indexed data in frequent manner Review collected by and hosted on G2.com.

Server cost is more need to have good explosure on Python Review collected by and hosted on G2.com.

Best tools for unsupervised learning, Topic and language modeling, document indexing, similarity retrieval with large corpora, Vector Space algorithms, and deep neural network supplementary tools such as NLTK, Keras, word2vec, FastText, etc. Compiled models, conda integration, API for maximizing the computations without depending on the high computational power. Visualization and model analysis is also provided that helps while developing the customized neural network models. Review collected by and hosted on G2.com.

Optimized for platform independence but could be hectic to manage the codebase since the Gensim dependencies are separate from the independent stand-alone packages like TensorFlow, Keras, etc. Review collected by and hosted on G2.com.

I have used this library for topic modelling the unstructured text data. As compared to other libraries I have tested genism works super fast. Another thing I like the most about its ease of implementation if you read the documentation. Also, their pre-train corpus is useful if you focus on one domain. Review collected by and hosted on G2.com.

Since it's a prebuild library sometimes it's hard to find the things that happened at the backend. Its something like a black box. Review collected by and hosted on G2.com.

- Easier implementation

- Lot of optional parameters to configure

- Feasibility to develop many types - word2vec, fastext, etc

- Easier model building, updating, saving in a single line of code Review collected by and hosted on G2.com.

- library should have been updated to work with the latest embeddings using transfer learning like bert/Albert. orlese sooner it could become outdated without recent developments Review collected by and hosted on G2.com.

Gensim is one of the best NLP libraries using which one can train and build NLP models with ease along with high accuracy. Review collected by and hosted on G2.com.

Gensim is best suited for NLP related tasks only and not for wide array of Machine learning tasks. For other use cases, one should make use of other libraries as suited. Review collected by and hosted on G2.com.

Gensim's word embedding models and NLP pipelines Review collected by and hosted on G2.com.

Inability to use State-of-the-art (SOTA) models such as Transformers

Inability to use GPUs Review collected by and hosted on G2.com.

Less Training time with decent results. Good for creating a custom vocabulary Review collected by and hosted on G2.com.

Need to preprocess the text particularly stemming/ lemmatization to reduce vocab size. This does not help in cases where you need words in their original form Review collected by and hosted on G2.com.

I work in an NLP based team and we have all been frequently using Gensim to serve the needs of several projects. Word2vec, Doc2vec and LDA have been life savers Review collected by and hosted on G2.com.

Although I've been using Gensim for a while now, I haven't particularly found anything to be a downside yet. Review collected by and hosted on G2.com.

I have mostly worked with preprocessing tools from Gensim. It was simple to implement and compaer results with different tools like word2vec, gensim, etc Review collected by and hosted on G2.com.

It's been a while. Don't remember what I disliked Review collected by and hosted on G2.com.

Gensim provides pre-trained contextual vectors Review collected by and hosted on G2.com.

More variety of vector dimensions can be offered for pre-trained vectors. Review collected by and hosted on G2.com.