askintution,Anita Reid,github

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

sentencesimilarity

self complement of Sentence Similarity compute based on cilin, hownet, simhash, wordvector,vsm models，基于同义词词林，知网，指纹，字词向量，向量空间模型的句子相似度计算。

sentiment-analysis

细粒度用户评论情感分析

sentimentwordexpansion

Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective，基于情感种子词与so-pmi算法的情感词扩展.

sentix

SentiX : A Sentiment-Aware Pretrained Model for Cross-domain Sentiment Aanlysis

seq2seq

keras example of seq2seq, auto title

seq2seq-model-for-sohu-2019

完全端到端的核心实体识别与情感预测

seq2seq-ocr-analysis

end2end layout analysis based seq2seq

seq2seq_keras

使用keras搭建seq2seq完成中英文翻译

sequence_tagging

using bilstm-crf,bert and other methods to do sequence tagging task

sequentialeventextration

Sequential Event Experiment based on Travel note crawled from XieCheng，基于50W携程出行游记的采集与顺承事件图谱构建．

sequicity

Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.