Leetcode solutions @doubleZ0108 from Peking University.

This project about Artificial Intelligence Domain Natural Language Processing with the title Spam Text Classification Using Recurrent Neural Network. Text Classification is a part from NLP for the …

TensorFlow code and pre-trained models for BERT

Unofficial implementation of: "Multi-Type Feature Extraction and Early Fusion Framework for SMS Spam Detection" paper

使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.

Shaaban, M.A., Hassan, Y.F. & Guirguis, S.K. Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text. Complex Intell. Syst. (2022). https://doi.org/10.1007/s40747-022…

Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU

简单实现NNLM

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Implementation of Constrained Seed k-means algorithm [Basu et al., 2002]

Open Chinese Language Pre-trained Model Zoo

An exploration of cluster-then-label approach to classify Supreme Court Case Text Opinions

This work is an implementation of semi-supervised methods for text classification. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. SEMI-SUPERVISED LEARN…

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Zhenni You, Tieyun Qian, Bing Liu: An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895

Code for ACL 2021 paper "ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information"

scikit-fusion: Data fusion via collective latent factor models

This repository contains code for paper "Sentiment Analysis for Sinhala Language using DeepLearning Techniques"

Latent Aspect Rating Analysis

Group review spammer detection

Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan and Chenfan Yan. Adversarial Spam Detector With Character Similarity Network, TII2023.

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

Knowledge Graph and Text Jointly Embedding

This code implements a fuzzy-genetic spam classifier using TF-IDF vectorization, feature extraction, and selection. It utilizes fuzzy logic and a genetic algorithm to classify spam and legitimate m…

A wrapper layer for stacking layers horizontally

Generative Adversarial Network-based classification for opinion spam

Binary version of adaptive Haar Wavelet based Grasshopper Optimization algorithm and Deep Learning Neural Network