bidirectional-lstm

I crafted a robust sentiment analysis model featuring Bidirectional LSTM layers and embeddings. Leveraging a Sequential model structure and fine-tuning with 'sparse_categorical_crossentropy' loss and 'adam' optimizer, the implementation excels in capturing contextual nuances for precise emotion classification in natural language data.

deep-learning sentiment-analysis bidirectional-lstm

Updated Jan 24, 2024
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harshika-kashyap / SIGMORPHON-18

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Code for the CONLL-SIGMORPHON-2018 shared task

nlp deep-neural-networks autoencoder inflection pickle keras-tensorflow bidirectional-lstm sigmorphon

Updated Oct 15, 2019
Python

ozgen / lstm-ner-ingredient

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deep-learning keras lstm python2 ner ingredients nlp-machine-learning part-of-speech-tagger bidirectional-lstm

Updated Dec 22, 2020
Python

navidadelpour / nlp-machine-learning

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Natural Language Processing Machine learning with python and keras (text generator)

python machine-learning natural-language-processing deep-learning neural-network keras text-generation lstm bidirectional-lstm

Updated Jan 9, 2020
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manashpratim / Speech-To-Transcript

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python deep-learning text speech python3 pytorch seq2seq beam-search convolutional-neural-networks speech-to-text attention-mechanism random-search bidirectional-lstm encoder-decoder greedy-search character-model

Updated Dec 4, 2020
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Rahul1582 / Named-Entity-Recognition

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A keras implementation of Bidirectional-LSTM for Named Entity Recognition.

tensorflow keras spacy named-entity-recognition bidirectional-lstm

Updated May 18, 2020
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HariShanmugavelu / NaturalLanguageProcessing_SarcasmDetection

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Applying NLP models to detect sarcasm for the Twitter datasets using Bidirectional LSTMs

natural-language-processing tensorflow tokenizer word-embeddings bidirectional-lstm glove-embeddings tensorflow-keras

Updated Apr 4, 2021
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s0nya21 / Deep-Learning--ag_news_subset-LSTM

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A news article's title and description should be classified into the following groups in order to solve this classification problem: 1-World, 2-Sports, 3-Business and 4-Science/Tech .Here is a sequence of data. This is a sequential problem, thus we may use bidirectional LSTM for classification since we have access to the data.

nlp deep-learning text-classification python3 bidirectional-lstm nadam

Updated Apr 26, 2023
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fredzhang7 / currency-exchange-ml-app

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predictive analysis for currency exchange rates, still under active development

mysql swing tensorflow junit sql-injection predictive-analysis currency-exchange-rates bidirectional-lstm time-series-prediction

Updated Dec 9, 2023
Java

Data-Science-Community-SRM / Text-Predictor

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A deep learning-based sequence model used to predict forthcoming words in a sentence.

deep-learning neural-networks bidirectional-lstm long-short-term-memory tensorflow2 streamlit

Updated Aug 8, 2020
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rkarwayun / MSCI-641-Final-Project

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93.91% score on FNC Challenge.

lstm data-preparation bert bidirectional-lstm cnn-classification roberta

Updated Aug 24, 2020
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LuFernandez / twin-peaks-generator

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Neural Network that writes new episodes of Twin Peaks. Using Bidirectional LSTM.

lstm bidirectional-lstm

Updated Jul 3, 2021
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erfunmirzaei / bi-directional-LSTM

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Implemented a Neural Network based on bi-directional LSTM for the sentence-level relation classification- Deep Neural Network Course Project

pytorch relation-extraction bidirectional-lstm bi-directional-rnn

Updated Nov 1, 2022
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GeetanjaliSrivastava / POS-tagging-for-Sanskrit-Language

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Here, I have developed POS-Tagging for Sanskrit Language. The dataset for the development of the model is pre-processed by me which was originally(raw-data) taken from JNU site.

gru tensroflow rnn-model lstm-neural-networks bidirectional-lstm datapreprocessing