中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .

text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models (LLMs).文本分析包，支持字数统计、可读性、文档相似度、情感分析在内的多种文本分析方法。

FieldWorks is a suite of software tools for language and cultural data, with support for complex scripts.

Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Extension of the SentenceSimplification project

Rezonator: Dynamics of human engagement

End-to-end shallow discourse parser

rst-workbench enables the hassle-free installation of RST parsers. It lets you visually compare their results in your browser.

Attention mechanism in CNNs to extract events of interest

Sense Disambiguation of Connectives for PDTB-Style Discourse Parsing

An annotated corpus of discussion forum threads from Massive Open Online Courses.

Discourse-Aware Sentiment Analysis

A collection of various discourse segmenters

MigrationInTheTimes: Visualising changes in the construction of meaning with Word Vector Space

Taking a corpus of text-based documents, we can now run doc2vec, kmeans clustering, and topic models to learn about entire discourses in just a few minutes. This gives valuable insight into the information present in a discourse from a high level using deep learning

Measure the civility of posts on your Discourse forum using Google Perspective API

Discourse

LLM-inspired BiLSTM pipeline for real-time, multi-label toxicity inference across adversarial discourse modalities.

Code for AAAI 20 paper: Discourse level factors for sentence deletion in text simplification