embedding-layer-keras

There are 1 repository under embedding-layer-keras topic.

TwitterSentimentAnalysis_Final_Project
devildances / TwitterSentimentAnalysis_Final_Project
Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
python3 twitter-streaming-api twitter-sentiment-analysis indonesian-language json-parser wordcloud sklearn nltk sastrawi-python logistic-regression naive-bayes-classifier neural-network relu-layer embedding-layer-keras softmax-layer gensim-word2vec flask-web wikimedia-data-dump trax
Language:Jupyter Notebook 20
rameshjes / NLP-
This repository contains details and key points of research papers related to NLP and Deep Learning
embedding-layer-keras k-means-clustering time-series-prediction text-classification bert-embeddings quora-question-pairs
Language:Python 11
north0n-FI / Analysing-IMDB-reviews-using-GloVe-and-LSTM
Using the IMDB data found in Keras here a few algorithms built with Keras. The source code is from Francois Chollet's book Deep learning with Python. The aim is to predict whether a review is positive or negative just by analyzing the text. Both self-created as well as pre-trained (GloVe) word embeddings are used. Finally there's a LSTM model and the accuracies of the different algorithms are compared. For the LSTM model I had to cut the data sets of 25.000 sequences by 80% to 5.000, since my laptop's CPU was not able to run the data crunching, making the model's not fully comparable.
embedding-layer-keras glove-embeddings imdb-rating keras-neural-networks lstm word-embeddings
Language:Jupyter Notebook 7
86lekwenshiung / Natural-Language-Processing-with-Reddit-Post
Using Random Forest , Bi Direction LSTM and Tensorflow Transfer Learning to do a text classification project. Compare model differences between tokenization and word embedding.
natural-language-processing universal-sentence-encoder lstm-neural-networks embedding-layer-keras
Language:Jupyter Notebook 2
ashutoshmakone / Twitter-US-Airline-Sentiment-classification
Sentiment classification of an imbalanced data set with text data using sklearn and keras (ML and DL)
nlp-machine-learning deep-learning python3 sklearn tfidf bow word2vec naive-bayes-classifier multilayer-perceptron matplotlib seaborn embedding-layer-keras glove-embeddings
Language:Jupyter Notebook 1
prakHr / Coursera-Specializations
Contains courses in specializations of coursera on deep learning
tensorflowjs tensorflow-models keras-implementations embedding-layer-keras fashion-mnist-dataset mnist mnist-handwriting-recognition rock-paper-scissors toxicity mobilenet iris-classification cats-vs-dogs wdbc transfer-learning python3 convolutional-neural-networks
Language:Jupyter Notebook 1
somjit101 / IMDb-Sentiment-LSTM
A study of the use of Long Short Term Memory (LSTM) for the sentiment classification of movie reviews on the well-known IMDb website.
embedding-layer-keras imdb-dataset imdb-sentiment-analysis keras lstm sentiment-analysis
Language:Jupyter Notebook 1
jungsoh / wordvecs-sentiment-classification
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
document-vector embedding-layer-keras keras-models lstm-model sentiment-classification softmax-layer word-embeddings word-vectors
Language:Jupyter Notebook 0
RobertRusev / NLP-FinHeadlines-MoodTracker
NLP-FinHeadlines-MoodTracker is a NLP project utilising sentiment analysis on financial news headlines. It employs a combination of CNN and LSTM layers to predict sentiment (positive, negative, neutral). The model incorporates an embedding layer, 1D convolution, max pooling, bidirectional LSTM, dropout, and dense layer for sentiment classification.
1d-convolution bidirectional-lstm cnn data-preprocessing data-science data-visualization dense-layers dropout embedding-layer-keras financial-news jupyter-notebook lstm machine-learning max-pooling natural-language-processing nlp python sentiment-analysis text-classification
Language:Jupyter Notebook 0
Girija-Bandaru / Sentiment-Analysis-on-Text-data
Sentiment analysis is analysis of the sentence that gives the opinion of the sentence. In this project, it will be implemented a model which inputs a sentence and gives the appropriate emoji to be used with sentence.
rnn-tensorflow lstm embedding-layer-keras
Language:Jupyter Notebook
shreyanshchordia / WordEmbedder
Use this repository to effectively use word embeddings for your next NLP Project!
natural-language-processing nlp glove-embeddings word-emeddings embedding-layer-keras embedding-matrix embeddings-word2vec neural-networks cosine-similarity open-source
Language:Jupyter Notebook
sramanujan1 / DeepLearning
nlp-machine-learning nlp keras-tensorflow embedding-layer-keras
Language:Jupyter Notebook
verdimrc / entity-embedding-rossmann
keras mxnet tensorflow embedding-layer-keras
Language:Jupyter Notebook

embedding-layer-keras

devildances / TwitterSentimentAnalysis_Final_Project

rameshjes / NLP-

north0n-FI / Analysing-IMDB-reviews-using-GloVe-and-LSTM

86lekwenshiung / Natural-Language-Processing-with-Reddit-Post

ashutoshmakone / Twitter-US-Airline-Sentiment-classification

prakHr / Coursera-Specializations

somjit101 / IMDb-Sentiment-LSTM

jungsoh / wordvecs-sentiment-classification

RobertRusev / NLP-FinHeadlines-MoodTracker

Girija-Bandaru / Sentiment-Analysis-on-Text-data

shreyanshchordia / WordEmbedder

sramanujan1 / DeepLearning

verdimrc / entity-embedding-rossmann