Deep contextualized word representations for Chinese
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Updated
Nov 21, 2019 - Python
Deep contextualized word representations for Chinese
Web服务:使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词
Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
Document clustering with word vectors.
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🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
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