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Description
Easily access and download clean, ready-to-utilize web datasets tailored for analysis, insight generation, and training machine learning models. The complexity of teaching machines to handle intricate tasks necessitates vast amounts of data. DataStock provides the resources you need to fulfill your Machine Learning Project and Training needs efficiently. The datasets available at DataStock feature millions of records, including customer reviews, making them perfect for constructing a text corpus for Natural Language Processing applications. By implementing Sentiment Analysis, you can gain valuable insights into the feelings, attitudes, emotions, and opinions expressed in user-generated content. For those seeking data specifically for Sentiment Analyses, DataStock stands out as an excellent resource. With a wealth of data at your fingertips, conducting timeline analyses and identifying trends becomes straightforward, allowing for a glimpse into future outcomes. Furthermore, DataStock operates as an online marketplace where you can purchase structured datasets from a variety of domains, including Retail, Healthcare, and Recruitment, ensuring that you find the specific data you need. With its user-friendly platform, DataStock simplifies the process of acquiring essential datasets for various analytical projects.
Description
Gensim is an open-source Python library that specializes in unsupervised topic modeling and natural language processing, with an emphasis on extensive semantic modeling. It supports the development of various models, including Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), which aids in converting documents into semantic vectors and in identifying documents that are semantically linked. With a strong focus on performance, Gensim features highly efficient implementations crafted in both Python and Cython, enabling it to handle extremely large corpora through the use of data streaming and incremental algorithms, which allows for processing without the need to load the entire dataset into memory. This library operates independently of the platform, functioning seamlessly on Linux, Windows, and macOS, and is distributed under the GNU LGPL license, making it accessible for both personal and commercial applications. Its popularity is evident, as it is employed by thousands of organizations on a daily basis, has received over 2,600 citations in academic works, and boasts more than 1 million downloads each week, showcasing its widespread impact and utility in the field. Researchers and developers alike have come to rely on Gensim for its robust features and ease of use.
API Access
Has API
API Access
Has API
Integrations
C
Cython
NumPy
Python
fastText
word2vec
Pricing Details
$20
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PromptCloud
Founded
2009
Country
United States
Website
datastock.shop/
Vendor Details
Company Name
Radim Řehůřek
Founded
2009
Country
Czech Republic
Website
radimrehurek.com/gensim/
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization