YangJieLiuDX's repositories
Convolutional-Neural-Networks-for-Sentence-Classification
In this project, we attempt to reproduce and improve the results achieved by Yoon Kim (2014), in [1] with no published code. We implement the proposed models in his paper, which describes sentence classifiers using CNN on top of pre-trained word vectors, Word2Vec. Classification in [1], is performed on multiple datasets, with static and minimally fine-tuned Word2Vec, feeding a single layer CNN. To improve the state-of-the-art, both static and fine-tuned word vectors are used in 2 separate channels to classify sentences[1]. In this work, we simplify Kim’s approach and instead focus only on the use of different kernel sizes with parallel layers. We see that the skill of the model on the unseen test dataset was very impressive, achieving 89%, which is above the skill of the model reported in the 2014 paper. We observed, fine-tuning the pre-trained vectors for specific task improves accuracy over static vectors, and we were able to reach accuracy mentioned in [1] for MR dataset.
42014601CourseProjectofSoftwareEngineering
软件工程课程设计项目/Lab409：基于词典方法和机基于器学习方法的中文情感倾向分析（Web）
Al_challenger_2018_sentiment_analysis
AI Challenger 2018 细粒度用户评论情感分析，排名17th，基于Aspect Level 思路的解决方案
AmusingPythonCodes
Interesting python codes to tackle simple machine/deep learning tasks
DeepLearningPractice
Basically the neural network based implementation and corresponding notes.
HandsNeuralWorks
Neural networks and deep learning
redant
Redant Blog
Sentiment-Analysis
Chinese Shopping Reviews sentiment analysis
SentimentPolarityAnalysis
情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。
Toxic-Comment-Classification-Kaggle
Deep Learning for Toxic Comment Classification
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.