nlphose
converse
| nlphose | converse | |
|---|---|---|
| 4 | 6 | |
| 10 | 176 | |
| - | 0.0% | |
| 2.7 | 0.0 | |
| over 2 years ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nlphose
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NlphoseBuilder : A tool to create NLP pipelines via drag and drop
The tool generates a nlphose command that can be executed in a docker container to run the pipeline. These pipelines can process streaming text like tweets or static data like files. They can be executed just like normal shell command using nlphose. Let me show you what I mean !
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Create NLP pipelines with drag and drop
Recently I have started work on query builder GUI for my open source project nlphose.
- nlphose is a collection of command line utilities, which can be piped together to create complex NLP pipelines for processing stream of tweets (or any other textual data). Currently supports sentiment analysis, 0-shot classification, Q&A, NER, Chunking.
- nlphose : A collection of utilities, which can be piped together to create complex NLP pipelines for processing tweets (and other data); inspired by the “Unix tools philosophy”. Currently supports sentiment analysis, question answering , zero-shot classification, language detection, NER, chunking
converse
- Pyconverse – Conversational transcript text analysis library
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[P] Pyconverse - Conversational Text transcript analysis library
Github project link: pyconverse
- GitHub Project Showcase: Conversational Transcript Analysis using various NLP techniques
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PyConverse: Conversational Text Transcript Analysis library.
Github project link: https://github.com/AnjanaRita/converse
- Conversational Text analysis library in Python: PyConverse
What are some alternatives?
ABSA-PyTorch - Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.
soxan - Wav2Vec for speech recognition, classification, and audio classification
blockly - The web-based visual programming editor.
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.
wink-eng-lite-model - English lite language model for wink-nlp.
TopMost - A Topic Modeling System Toolkit
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
PLOD-AbbreviationDetection - This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication
browser-ml-inference - Edge Inference in Browser with Transformer NLP model