Scrape EDGAR filings from https://www.sec.gov/
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Updated
Sep 18, 2024 - Julia
Scrape EDGAR filings from https://www.sec.gov/
Read morning pages into a data frame in R.
Visualize large text collections with WebGL
28237-Intent-type-single-sentence-annotation-data
80000-sets-Multi-domain-Customer-Service-Dialogue-Text-Data
13000000-Groups-Man-Machine-Conversation-Interactive-Text-Data
8178-Chinese-Social-Comments-Events-Annotation-Data
13-Modules-Entity-Name-Single-sentence-Annotation-Data
DupliPy is a quick and easy-to-use package that can handle text formatting and data augmentation tasks for NLP in Python. It now offers support for image augmentation tasks as well.
My demonstration of RNN, LSTM, Dropouts, and Data Augmentation Techniques for Texts using Spam and Ham Dataset.
Tools for reshaping text data
The objective of the project is to predict whether a particular tweet, of which the text (occasionally the keyword and the location as well) is provided, indicates a real disaster or not. We use various NLP techniques and classification models for this purpose and objectively compare these models by means of appropriate evaluation metric.
Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/
Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data
Large-scale pretrained models for goal-directed dialog
This repository hosts a diverse NLP dataset comprising 1,000 stories spanning 100 genres for comprehensive language understanding tasks.
Text Data: Sentiment Analysis
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