count-vectorizer

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shreyans29 / thesemicolon

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This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

data-science machine-learning tutorial deep-learning sentiment-analysis neural-network numpy scikit-learn keras semicolon lstm rnn matplotlib convolutional-neural-networks perceptron gradient-descent cnn-keras scikit pandas-tutorial count-vectorizer

Updated Jan 16, 2018
Jupyter Notebook

roshansridhar / Multimodal-Sentiment-Analysis

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Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

svm machine-translation cross-validation pandas nltk bag-of-words logistic-regression tf-idf openface sparse-matrix data-cleaning classification-report count-vectorizer utterance multimodal-sentiment-analysis recursive-feature-elimination moud mosi openear

Updated Jan 12, 2018
Jupyter Notebook

sharmaroshan / Twitter-Sentiment-Analysis

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It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

nlp machine-learning sentiment-analysis cross-validation eda data-visualization wordcloud classification data-analysis bag-of-words hashtags evaluation-metrics count-vectorizer datacleaning

Updated May 14, 2019
Jupyter Notebook

esharma3 / myers-briggs-personality-prediction

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NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

python nlp flask machine-learning numpy gcp pandas nltk sentiment-analyser pos-tagging lemmatization count-vectorizer classification-model tf-idf-vectorizer imbalanced-classes

Updated May 24, 2020
Jupyter Notebook

bhattbhavesh91 / tf-idf-example

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A simple Sklearn based example to demonstrate the working of TF-IDF.

sklearn tf-idf count-vectorizer tf-idf-calculation

Updated Mar 22, 2020
Jupyter Notebook

shubhamchouksey / NLP_Recipes

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Natural Language Processing Recipes

python nlp numpy spacy etc nltk beautifulsoup textblob corenlp count-vectorizer

Updated Apr 3, 2020
Jupyter Notebook

raj1603chdry / Fake-News-Detection-System

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Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

machine-learning pipeline random-forest scikit-learn pattern-library word-cloud nltk naive-bayes-classifier logistic-regression data-preprocessing fake-news pos-tagging svm-classifier count-vectorizer custom-transformer voting-classifier gridsearchcv tfidf-vectorizer

Updated Jan 24, 2020
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jeyadosstimothy / ML-on-CrisisLex

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Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

machine-learning random-forest text-classification naive-bayes word-embeddings neural-networks topic-modeling logistic-regression latent-dirichlet-allocation lstm-neural-networks gradient-boosting latent-semantic-analysis count-vectorizer mlp-networks gru-model tf-idf-vectorizer

Updated Nov 20, 2018
Python

arunabellgutteramesh / VideoMemorabilityPredictionUsingML

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Some videos have more impact than the others resulting in higher memorability scores for such videos. Using various ML algorithms, such memorability scores are predicted.

machine-learning regression-models count-vectorizer random-forest-regression tfidf-vectorizer

Updated Aug 30, 2019
Jupyter Notebook

ksdkamesh99 / Spam-Classifier

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A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

embeddings naive-bayes-classifier bag-of-words logistic-regression support-vector-machines decision-tree-classifier lstm-neural-networks count-vectorizer sms-spam-detection porter-stemmer multinomial-naive-bayes wordnetlemmatizer tfidf-vectorizer

Updated May 29, 2020
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Bidur-Khanal / Text-Classification

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Basic Text Classification Codes

nlp text-classification logistic-regression tf-idf support-vector-machine count-vectorizer

Updated Sep 6, 2019
Jupyter Notebook

Tejmeister / FakeReviewDetection

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A majority of customers rely on the review of the product on the websites which helps in forming an opinion about the product. Thus, positive or negative reviews have direct influence on the product and this makes online reviews an integral part of the business. This, unfortunately also gives strong incentives for opinion spamming and thus detection of online review spam becomes important. Such individuals are called opinion spammers and their activities are called opinion spamming. Our goal is to devise a technique to detect with certain degree of certainty which reviews are spam, so that the online review website can take proper action.

count-vectorizer multinomial-naive-bayes fake-review