Projects with this topic
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🤖 AI browser extensions & userscripts to augment your web experienceUpdated -
This project is about natural language processing (NLP) using Python.
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Streamlit web app on sentiment analysis on Airlines Tweets Webapp
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Generate ALT text (captions for low vision website users or book readers).
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microG/UnifiedNlp backend that uses AMap Location API to resolve locations
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Machine Learning - Binary Classification (NLP)
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Machine Learning - Binary Classification (NLP)
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Projekt pobiera dane z twittera, 2 portali gospodarczych oraz GPW dotyczących spółek WIG20. Następnie następuje przetworzenie tekstu i jego analiza, tworzenie wykresów oraz zależności. Sprawdzany jest sentyment w gospodarce na podstawie słownika LOBI. Tworzony jest Topic Modeling wyłapujący 4 główne zagadnienia występujące aktualnie w wiadomościach. Na podstawie zmian zamknięcia cen akcji i klasteryzacji hierarchicznej tworzone jest drzewo zależności, które idealnie pokazuje jak dywersyfikować inwestycje na spółkach WIG20.
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Using Multi-Task Learning for hate speech detection
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Dataset repository for the paper "On Analyzing Annotation Consistency in Online Abusive Behavior Datasets" (ICWSM'20 Data Challenge).
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A new semi supervised algorithm for classifying cross lingual texts
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A Natural Language Processing Project Given any aptitude Question it should be able to solve. The very first phase is to classify the he given Dataset into 10 categories like Probability, Ages etc.
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Fork of Rubrix for natural language processing machine learning dataset labeling and RLHF (reinforcement learning human feedback) and active learning. Original license was Apache 2.0 which allows Argilla.io to modify the software without sharing it with the community.
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Your very own Assistant. Because you deserve it.
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A set of python classes to manage corpora aimed at Automatic Text Summarization (ATS) as well as the semi-automatic evaluation process (with ROUGE). Typically, a corpus for ATS has several Original Texts and reference summaries (gold standard)
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Endgoal: a comparison of categorisation algorithms and techniques for a specific task (regression models for auction bidding data to determine bid categories) Most of the work: data preprocessing and aggregation
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microG/UnifiedNlp backend that uses Baidu Location API to resolve locations
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Sentiment Analysis on IMDB movie review dataset using BERT.
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