count-vectorizer

There are 0 repository under count-vectorizer topic.

shreyans29 / thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
cnn-keras convolutional-neural-networks count-vectorizer data-science deep-learning gradient-descent keras lstm machine-learning matplotlib neural-network numpy pandas-tutorial perceptron rnn scikit scikit-learn semicolon sentiment-analysis tutorial
Language:Jupyter Notebook 396
sharmaroshan / Twitter-Sentiment-Analysis
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 sentiment-analysis data-analysis bag-of-words data-visualization eda machine-learning classification cross-validation evaluation-metrics count-vectorizer wordcloud hashtags datacleaning
Language:Jupyter Notebook 259
SannketNikam / Emotion-Detection-in-Text
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
count-vectorizer data-science emotion-detection lemmatization logistic-regression machine-learning model-deployment multinomialnb nlp nltk sentiment-analysis stemming stopwords streamlit streamlit-cloud streamlit-webapp tf-idf word2vec wordcloud
Language:Jupyter Notebook 55
esharma3 / myers-briggs-personality-prediction
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/
machine-learning classification-model nlp nltk sentiment-analyser lemmatization tf-idf-vectorizer count-vectorizer python pandas numpy flask gcp pos-tagging imbalanced-classes
Language:Jupyter Notebook 33
roshansridhar / Multimodal-Sentiment-Analysis
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
data-cleaning multimodal-sentiment-analysis pandas bag-of-words nltk svm logistic-regression sparse-matrix classification-report cross-validation recursive-feature-elimination count-vectorizer tf-idf machine-translation moud mosi openear openface utterance
Language:Jupyter Notebook 32
ksdkamesh99 / Spam-Classifier
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%.
sms-spam-detection tfidf-vectorizer count-vectorizer bag-of-words naive-bayes-classifier multinomial-naive-bayes logistic-regression wordnetlemmatizer porter-stemmer decision-tree-classifier support-vector-machines lstm-neural-networks embeddings
Language:Jupyter Notebook 16
raj1603chdry / Fake-News-Detection-System
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.
svm-classifier logistic-regression random-forest naive-bayes-classifier pipeline gridsearchcv voting-classifier custom-transformer tfidf-vectorizer count-vectorizer word-cloud nltk scikit-learn pos-tagging data-preprocessing machine-learning fake-news pattern-library
Language:Jupyter Notebook 13
agushendra7 / twitter-sentiment-analysis-using-inset-and-random-forest
Twitter Sentiment Analysis Using InSet (Indonesia Sentiment Lexicon) and Random Forest Classifier
count-vectorizer jupyter-notebook python random-forest sentiment-analysis tf-idf-vectorizer twitter-sentiment-analysis insetsentiment
Language:Jupyter Notebook 10
shanuhalli / Project-Resume-Classification
The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
lemmitization regular-expression text-mining count-vectorizer ner word-clouds stemming nltk resume-classification classification corpus count-vectoriation part-of-speech-tagging spacy textract tf-idf-vectorizer word-cloud
Language:Jupyter Notebook 10
Kamal2511 / Movie-Recommender-System
Built a movie recommender system with Streamlit and deploy in Heroku Platform.
movie-recommendation-system heroku nltk machine-learning deep-learning cosine-similarity count-vectorizer python api
Language:Jupyter Notebook 9
agushendra7 / twitter-sentiment-analysis-using-vader-and-random-forest
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
count-vectorizer jupyter-notebook pyhton random-forest sentiment-analysis tf-idf-vectorizer twitter-sentiment-analysis vadersentiment
Language:Jupyter Notebook 5
shaadclt / Fake-News-Detection-DecisionTreeClassifier
This project involves detecting fake news using a decision tree classifier in Jupyter Notebook. Fake news detection is an important task in the field of natural language processing and machine learning, as it helps identify and filter out misleading or false information.
count-vectorizer decision-tree-classifier
Language:Jupyter Notebook 5
spChalk / Vaccine-Sentiment-Classifier
:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.
attention-mechanism bag-of-words bert bidirectional-rnn classification-report count-vectorizer data-cleaning data-preprocessing glove-embeddings gru hashing-vectorizer hyperparameter-tuning imbalanced-data learning-curve lstm n-grams optuna roc-curve softmax-regression tf-idf
Language:Jupyter Notebook 5
helemanc / drugs-reviews-sentiment-analysis
Text Mining project about Sentiment Analysis of Drugs Reviews.
drugs-reviews sentiment-analysis sentiment-classification nlp nlp-machine-learning text-classification text-mining text-processing text-analysis vader-sentiment-analysis vader vader-sentiment-analyzer bag-of-words bow count-vectorizer tf-idf glove-embeddings glove
Language:Jupyter Notebook 4
rochitasundar / TwitterSentimentAnalysis-BigDataProject
Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard
accuracy-metrics aws-athena aws-ec2 aws-kinesis-firehose aws-quicksight aws-s3 count-vectorizer databricks-notebooks pyspark python3 roc-auc-score tf-idf-vectorizer twitter-api twitter-sentiment-analysis multiclass-evaluator
Language:Jupyter Notebook 4
samimakhan / Spam-Classification-Project
Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.
naive-bayes-classifier decision-tree-classifier spam-classification spam-classifier count-vectorizer tf-idf-vectorizer machine-learning
Language:Jupyter Notebook 4
Ankit152 / StackOverflow-Tag-Prediction
A machine learning model that predicts tags for a given question and body.
stackoverflow tag-prediction machine-learning onevsrestclassifier hamming-loss micro-f1score nlp stemming text-mining text-data sgd-classifier tags count-vectorizer tfidf-vectorizer
Language:Jupyter Notebook 3
jeyadosstimothy / ML-on-CrisisLex
Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.
machine-learning text-classification topic-modeling logistic-regression random-forest gradient-boosting naive-bayes neural-networks lstm-neural-networks gru-model word-embeddings latent-dirichlet-allocation mlp-networks latent-semantic-analysis count-vectorizer tf-idf-vectorizer
Language:Python 3
shubhamchouksey / NLP_Recipes
Natural Language Processing Recipes
beautifulsoup corenlp count-vectorizer etc nlp nltk numpy python spacy textblob
Language:Jupyter Notebook 3
Abhijit460 / Restaurant-review-using-NLP
This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.
machine-learning machine-learning-project naive-bayes naive-bayes-algorithm naive-bayes-classifier nlp-machine-learning restaurant-reviews naive-bayes-project count-vectorizer python3-project steeming stopwords nltk-python pandas-python
Language:Jupyter Notebook 2
bhattbhavesh91 / tf-idf-example
A simple Sklearn based example to demonstrate the working of TF-IDF.
tf-idf tf-idf-calculation sklearn count-vectorizer
Language:Jupyter Notebook 2
MahalavanyaSriram / Natural-Language-Processing-with-Disaster-Tweets
Kaggle Competition - Natural Language Processing with Disaster Tweets
bert-model disaster tweets natural-language-processing nlp scattertext svm kfold-cross-validation glove naive-bayes lstm count-vectorizer fasttext
Language:HTML 2
MrRaghav / media-memorability
MediaEval challenge 2019 - to predict the memorability of the Videos
c3d captions count-vectorizer decision-trees ensemble-models gradient-boosting-regressor hmp knn linear-regression machine-learning machine-learning-algorithms mediaeval multimediaeval neural-networks random-forest regression spearman-rank-correlation tf-idf video-memorability voting-regressor
Language:Jupyter Notebook 2
Nourshosharah / introduction-to-natural-language-processing-in-python
my exercises of course natural language processing datacamp
nlp nlp-keywords-extraction nltk regular-expression tokenization word-length word-tokenizing word-count bag-of-words text-preprocessing lemmatization stemming spacy polyglot word-vector word-vectors tf-idf count-vectorizer fake-news name-entity-recognition
Language:Jupyter Notebook 2
ritika-0111 / Movie-Recommendation-on-IMDB-Dataset
Movie Recommendation - provides user with the top choices of movie he/she wanted to watch based on their current choice
cosine-similarity count-vectorizer imdb-dataset movie-recommendation
Language:Jupyter Notebook 2
SandeepUrankar / LetMeTellYouAStory
Short Stories Recommendations.
bag-of-words categorization classification cosine-similarity count-vectorizer flask guassian-naive-bayes random-forest recommendation tfidf-vectorizer
Language:Jupyter Notebook 2
Ambarish-224 / SMS_SPAM_Classifier
A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomialNB & GaussianNB to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.70% .
bag-of-words count-vectorizer gaussian-naive-bayes multinomial-naive-bayes naive-bayes-classifier nlp nlp-machine-learning sms-spam-detection
Language:Jupyter Notebook 1
annareddy1 / Aegean-Employment-Scams-Detection-App
AI-powered classifier mobile app using NLP to spot fake job ads and protect users from online scams. Our system analyzes language patterns and leverages algorithms to create a safe and trustworthy job search experience.
classification count-vectorizer deep-neural-networks fastapi gcp nlp react-native rnn-lstm tensorflow tfidf-vectorizer word2vec
1
Anshul21107 / Movie-Recommender-System
The movie recommendation system is implemented using content based filtering
cosine-similarity count-vectorizer machine-learning recommender-system streamlit
Language:Jupyter Notebook 1
astonglen / Fake-News-Detection-Project
The scope of this project is to classify fake and true news. After performing an analysis on the dataset using two different vectorizers and two machine learning algorithms, the results are conveyed in the form of accuracy score and confusion matrices.
count-vectorizer fake-news tfidf-vectorizer
Language:Jupyter Notebook 1
Bhuvan588 / Spam-Detection-Using-NLP-and-MLOps
This simple project detects spam content using NLP. It is further powered by MLOps consisting of Docker and Github CI/CD.
cicd count-vectorizer docker flask mlops mlops-workflow nlp yml pytest
Language:Python 1
klnlokeshkumar / movie-recommendation-system
Movie recommendation system uses the user input and generate similar kind of movies using cosine similarity and countvectorizer techniques
cosine-similarity count-vectorizer jupyter-notebook machine-learning python sklearn
Language:Jupyter Notebook 1
shubhamgoyal575 / Spam_Detective
This project uses machine learning to classify messages as spam or ham based on text analysis. It includes data preprocessing, feature extraction (TF-IDF), and classification models like Logistic Regression and Naive Bayes for accurate spam detection. Built with Python and Scikit-Learn. 🚀
count-vectorizer data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization data-wrangling exploratory-data-analysis logistic-regression machine-learning machine-learning-algorithms naive-bayes natural-language-processing spam-detection tfidf-vectorizer
Language:Jupyter Notebook 1
sjain2580 / Movie-Recommender-System
Movie Recommender System
recommendation-system cosine-similarity feature-extraction skcit-learn count-vectorizer content-based-filtering streamlit
Language:Jupyter Notebook 1
tan-hongkai / ViewWise
ViewWise is a recommendation system project that suggests TV shows based on cosine similarity between their metadata. By analyzing aggregated textual data of TV shows, the system provides users with personalized recommendations from a curated list of popular shows.
cosine-similarity datascience imdb nlp recommendation-system tv-shows count-vectorizer
Language:Jupyter Notebook 1
VedikaSawant / DupDetect
Machine learning project to identify semantically duplicate questions
data-visualization feature-engineering machine-learning random-forest-classifier streamlit count-vectorizer
Language:Jupyter Notebook 1

count-vectorizer

shreyans29 / thesemicolon

sharmaroshan / Twitter-Sentiment-Analysis

SannketNikam / Emotion-Detection-in-Text

esharma3 / myers-briggs-personality-prediction

roshansridhar / Multimodal-Sentiment-Analysis

ksdkamesh99 / Spam-Classifier

raj1603chdry / Fake-News-Detection-System

agushendra7 / twitter-sentiment-analysis-using-inset-and-random-forest

shanuhalli / Project-Resume-Classification

Kamal2511 / Movie-Recommender-System

agushendra7 / twitter-sentiment-analysis-using-vader-and-random-forest

shaadclt / Fake-News-Detection-DecisionTreeClassifier

spChalk / Vaccine-Sentiment-Classifier

helemanc / drugs-reviews-sentiment-analysis

rochitasundar / TwitterSentimentAnalysis-BigDataProject

samimakhan / Spam-Classification-Project

Ankit152 / StackOverflow-Tag-Prediction

jeyadosstimothy / ML-on-CrisisLex

shubhamchouksey / NLP_Recipes

Abhijit460 / Restaurant-review-using-NLP

bhattbhavesh91 / tf-idf-example

MahalavanyaSriram / Natural-Language-Processing-with-Disaster-Tweets

MrRaghav / media-memorability

Nourshosharah / introduction-to-natural-language-processing-in-python

ritika-0111 / Movie-Recommendation-on-IMDB-Dataset

SandeepUrankar / LetMeTellYouAStory

Ambarish-224 / SMS_SPAM_Classifier

annareddy1 / Aegean-Employment-Scams-Detection-App

Anshul21107 / Movie-Recommender-System

astonglen / Fake-News-Detection-Project

Bhuvan588 / Spam-Detection-Using-NLP-and-MLOps

klnlokeshkumar / movie-recommendation-system

shubhamgoyal575 / Spam_Detective

sjain2580 / Movie-Recommender-System

tan-hongkai / ViewWise

VedikaSawant / DupDetect