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BLLIP Parser

Afficher le détail des notes
26 avis
  • 4 profils
  • 4 catégories
Note moyenne des étoiles
4.5
Au service des clients depuis
2003

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BLLIP Parser Reviews

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Shuchismita B.
SB
Shuchismita B.
Graduate student at Virginia Tech
02/14/2019
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

Good open source library for natural language processing

I like the fact that the library is open source and provides good documentation. Classification problems become quite easy to solve.
Claudio B.
CB
Claudio B.
System Architect / Ph.D. in Artificial Intelligence
01/31/2019
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

A good toolkit for implementing a complex recommender system

Python-recsys is a powerful python library that consist in a implementation of a recommeder system. You can recommend an item providing a user-based o item-based mechanism. Some matrix decomposition algorithms are implemented, such as singular value decomposition, and you can evaluate results through standard performance measures, in order to find best tuning params for your specific domain. Algorithms are supported with a great documentation and a lot of datasets to experiment.
Nikhil G.
NG
Nikhil G.
Data Science | Machine Learning | IOT | Python | R Programing | Research | Teaching | Training
01/23/2019
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif
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Bon pour le traitement du langage naturel complexe

Il est principalement utilisé pour comprendre les phrases sous forme matricielle où le problème de compréhension de texte complexe devient simple pour la classification.

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Année de fondation
2003