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 .
cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.
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)
Extension of the SentenceSimplification project
Mining Discourse Markers for Unsupervised Sentence Representation Learning
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
ALIGN 2.0: Modern Python package for multi-level linguistic alignment analysis. Faster, streamlined, and feature-rich while maintaining full compatibility with the original ALIGN methodology (Duran, Paxton, & Fusaroli, 2019). Recommended for all new projects. Original version: https://github.com/nickduran/align-linguistic-alignment
MigrationInTheTimes: Visualising changes in the construction of meaning with Word Vector Space
Measure the civility of posts on your Discourse forum using Google Perspective API
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
NLP toolkit for corpus linguistics & critical discourse analysis — KWIC, lemmatization, NER, topic modeling, collocations. Python · spaCy · FastAPI.
The RST-LSTM module refines predictions of the sequential text classifier (BERT) on documents with complex discourse
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