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AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
自然语言处理实验(sougou数据集),TF-IDF,文本分类、聚类、词向量、情感识别、关系抽取等
Datasets for Aspect-Based Sentiment Analysis and codes for reading them.
Papers, models and datasets for Aspect-Category Sentiment Analysis.
Implementation of topic models based on neural network approaches.
Topic Modeling with Python, PyTexas 2015
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Tr…
My blogs and code for machine learning. http://cnblogs.com/pinard
Targeted Sentiment Analysis (TSA) on a fine grained dataset: NoReCfine.
[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
Few shot learning on the Omniglot dataset.
FSL-Mate: A collection of resources for few-shot learning (FSL).
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN…
Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
As a part of data science project, I built this model to predict news which are reliable and unreliable. The datasets used in this project were from kaggle.com. Highly appreciate the comment from r…
Build your neural network easy and fast, 莫烦Python中文教学
collection for the common dataset in my research
Samples for users of the Yelp Academic Dataset
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
o Liu, Xiangguo Sun, Zeyang Ni, Jiuxin Cao, Junzhou Luo, Benyuan Liu, Xinwen Fu. Co-Detection of Crowdturfing Microblogs and Spammers in Online Social Networks. World Wide Web. 2019. (Accepted, CCF-…
Data and code of the experiments for "Collective Spammer Detection in Evolving Multi-Relational Social Networks"