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 .
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Updated
Dec 9, 2022 - Python
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 .
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。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models (LLMs).
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
Attention mechanism in CNNs to extract events of interest
rst-workbench enables the hassle-free installation of RST parsers. It lets you visually compare their results in your browser.
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
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
Code for AAAI 20 paper: Discourse level factors for sentence deletion in text simplification
Retrieves and distributes Discourse forum stats
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