ArchismanKarmakar / Tachygraphy-Microtext-Analysis-And-Normalization Public

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This project focuses on the Tachygraphy analysis (Micro-text analysis) using Deep Learning techniques. The primary goal is to predict the simplified, expanded text from shorthand forms often found in casual digital communication. Additionally, the project aims to extract sentiments, mood tags, personality traits, and other relevant information.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
datasets		datasets
BERT_LV1_freezed-pad25.ipynb		BERT_LV1_freezed-pad25.ipynb
BERT_LV1_freezed-pad50_+tokens.ipynb		BERT_LV1_freezed-pad50_+tokens.ipynb
BERT_LV1_train+frozen-pad128+tokens+GradSc.ipynb		BERT_LV1_train+frozen-pad128+tokens+GradSc.ipynb
DEBERTA-LV1-SentimentPolarities-MaxAcc-V2.ipynb		DEBERTA-LV1-SentimentPolarities-MaxAcc-V2.ipynb
DEBERTA-LV1-SentimentPolarities-MaxAccMinCustMetV2.ipynb		DEBERTA-LV1-SentimentPolarities-MaxAccMinCustMetV2.ipynb
DEBERTA-LV2-EmotionMoodtags-MaxAcc-MinCustMet.ipynb		DEBERTA-LV2-EmotionMoodtags-MaxAcc-MinCustMet.ipynb
DEBERTA-LV2-EmotionMoodtags-MaxAcc.ipynb		DEBERTA-LV2-EmotionMoodtags-MaxAcc.ipynb
Dataset - tachygraphy.csv		Dataset - tachygraphy.csv
LICENSE		LICENSE
LSTM_LV1_mf2k+FINE_TUNED1.ipynb		LSTM_LV1_mf2k+FINE_TUNED1.ipynb
LSTM_LV1_mf2k+FINE_TUNED2.ipynb		LSTM_LV1_mf2k+FINE_TUNED2.ipynb
LSTM_LV1_mf2k+seq1to4.ipynb		LSTM_LV1_mf2k+seq1to4.ipynb
README.md		README.md
Tachygraphy-MicroText-Transformers-FB-BARTbase.ipynb		Tachygraphy-MicroText-Transformers-FB-BARTbase.ipynb
Tachygraphy-MicroText-Transformers-GooglePegasus.ipynb		Tachygraphy-MicroText-Transformers-GooglePegasus.ipynb