cntext 是一个专为社会科学实证研究设计的中文文本分析 Python 库。它不仅提供传统的词频统计和情感分析,还支持词嵌入训练、语义投影计算等高级功能,帮助研究者从大规模非结构化文本中测量抽象构念——如态度、认知、文化观念与心理状态。
- Updated
Nov 21, 2025 - Python
cntext 是一个专为社会科学实证研究设计的中文文本分析 Python 库。它不仅提供传统的词频统计和情感分析,还支持词嵌入训练、语义投影计算等高级功能,帮助研究者从大规模非结构化文本中测量抽象构念——如态度、认知、文化观念与心理状态。
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Using pre trained word embeddings (Fasttext, Word2Vec)
CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
GloVe word vector embedding experiments (similar to Word2Vec)
A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)
Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.
Fake news generator and detector using keras
A private, free, open-source search engine built on a P2P network
[not maintained anymore] [for study purpose] A simple PyTorch implementation for "Global Vectors for Word Representation".
A text classification model with pretrained GloVe embeddings
Ask Me: Question Generating Agent
A fast implementation of GloVe, with optional retrofitting
USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami
A stacked LSTM based Network for Text Summarization Using Keras
A simple document and image search engine implemented in keras
Bi-Directional Attention Flow for Machine Comprehensions
Text classification using GloVe embeddings, CNN and stacked bi-directional LSTM with Max K Pooling.
Debiasing both contextual and context free embeddings and developing a downstream metric for bias measurement
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