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word2vec
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17 search results found
Nlp_chinese_corpus
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8,344
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Nlp Journey
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1,563
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
Textclf
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217
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextR
Embedding As Service
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182
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Nlp_research
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170
NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文 四大任务
Embedding_study
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64
中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果
Vectorsinsearch
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59
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Textgo
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33
Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!
Sentimentanalysis
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21
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Nlp Paper
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16
🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Psychwordvec
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15
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Text Classification
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14
A collection of text classification algorithms in tensorflow: cnn, rnn, attention, bert, capsule, clstm, rcnn
Sample Machine Learning Projects
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10
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
Eatn
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8
Dataset and code for ”EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis"
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Sentiment_embeddings
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5
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
Identify The Sentiments Av Nlp Contest
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5
This project is submitted as python implementation in the contest of Analytics Vidhya called "Identify the Sentiments". I enjoyed the joining of this competition and all its process. This submited solution got the rank 118 in the public leaderboard.
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