Archives for NLP - Page 6
Sentiment analysis is a part of natural language processing used to determine whether the sentiment of the data under observation is positive, negative or neutral. Usually, sentiment analysis is carried on text data to help professionals monitor and understand their brand and product sentiment across the industry and customers by taking the feedback.
The post Guide To Build A Simple Sentiment Analyzer Using TensorFlow-Hub appeared first on Analytics India Magazine.
In any data science project life cycle, cleaning and preprocessing data is the most important performance aspect. Say if you are dealing with unstructured text data, which is complex among all the data, and you carried the same for modeling two things will happen. Either you come up with a big error, or your model will not perform as you expected.
The post Complete Tutorial on Text Preprocessing in NLP appeared first on Analytics India Magazine.
Using these Python NLP libraries will enable one to build end-to-end solutions; from getting data for models to presenting the results.
The post Best Python Libraries Of 2021 For Natural Language Processing appeared first on Analytics India Magazine.
the article is more focused on the small text library for active learning, which provides active learning algorithms for text classification and allows mixing and matching many classifiers.
The post Hands-On Guide to Small Text: A Python Tool for Active Learning appeared first on Analytics India Magazine.
NVIDIA has submitted its training results for all eight benchmarks.
The post Explained: NVIDIA’s Record-Setting Performance On MLPerf v1.0 Training Benchmarks appeared first on Analytics India Magazine.