bilalaziz786 / Analysis-of-Political-Sentiments-on-Twitter-using-Deep-LearningLinks
Aim was to develop a machine learning model which can analyze sentiments on twitter and to predict the winner of Lok Sabha Elections 2019. Web scraping was used for comments and then applied feature extraction, TF-IDF, Word2Vec, ANN and LSTM to improve the accuracy of model. Softmax function was used for multiclass classification. Learning cur…
☆17Updated 5 years ago
Alternatives and similar repositories for Analysis-of-Political-Sentiments-on-Twitter-using-Deep-Learning
Users that are interested in Analysis-of-Political-Sentiments-on-Twitter-using-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…☆14Updated 3 years ago
- This is a project of twitter sentiment analysis using machine learning(Support Vector Machines,Naive Bayes), deep learning(LSTM), Transfo…☆20Updated 4 years ago
- Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score we…☆12Updated 7 years ago
- The Smart Security System For Homes using Internet of Things has been experimentally proven to work satisfactorily by connecting simple a…☆15Updated 3 years ago
- This project optimizes EV charging station placement and capacity using MATLAB. It calculates optimal locations based on voltage stabilit…☆15Updated last year
- To predict the air quality index using meterological data using machine learning algorithms and LSTM(Long Short Term Memory)☆10Updated 6 years ago
- An analysis of electric vehicle charging times given usage data☆12Updated 9 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆29Updated 5 years ago
- A multi-task learning method for multi-energy load forecasting based on synthesis correlation analysis and load participation factor☆13Updated 2 years ago
- Aspect Based Sentiment Analysis identifies the aspect terms and the sentiment polarity associated with each aspect term in the given revi…☆10Updated 4 years ago
- 基于pytorch进行文本多分类，主要模型为双向LSTM，预测准确率83%☆43Updated 5 years ago
- Machine Learning based model to predict power demand in charging station for electric vehicles.☆11Updated 2 years ago
- Complementary Jupyter notebooks for load forecasting tutorial.☆12Updated 5 years ago
- Natural Language Processing. From data preparation to building model and deploy the model to web service☆11Updated 6 years ago
- CNN-BiGRU-Attention模型☆102Updated 3 years ago
- 利用CNN,LSTM,CNN_LSTM,TextCNN,Bi-LSTM和传统的机器学习算法进行情感分析，参考：https://github.com/Edward1Chou/SentimentAnalysis☆93Updated 7 years ago
- Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on …☆53Updated 6 years ago
- Harnessing LSTM for gold price prediction from 2013-2022. Trained on 9 years of data, the model predicts prices for 2022. The repo contai…☆22Updated 2 years ago
- MATLAB Implementation of "Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques"☆14Updated 5 years ago
- A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier☆10Updated 4 years ago
- (BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on T…☆74Updated 6 years ago
- Pytorch Bert+BiLstm二分类☆40Updated 4 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 7 years ago
- LSTM Keras Neural Network to predict ship location using Danish AIS data☆50Updated 7 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Updated 3 years ago
- A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the pow…☆59Updated 4 years ago
- Industry chain data test：Sentence classify Bi-GRU-att☆22Updated 7 years ago
- Undergraduate Research Project looking into Scheduling Optimization for Electric Vehicle Charging☆12Updated 12 years ago
- A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set …☆55Updated 7 years ago
- 文本分类， 双向lstm + attention 算法☆90Updated 5 years ago