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sharmaroshan / Twitter-Sentiment-Analysis

Star 234

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 Nov 3, 2023
  • Jupyter Notebook

roshansridhar / Multimodal-Sentiment-Analysis

Star 33

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

SannketNikam / Emotion-Detection-in-Text

Star 32

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.

nlp data-science machine-learning sentiment-analysis word2vec wordcloud nltk logistic-regression tf-idf stopwords stemming lemmatization emotion-detection count-vectorizer model-deployment multinomialnb streamlit streamlit-webapp streamlit-cloud
  • Updated Oct 29, 2024
  • Jupyter Notebook

esharma3 / myers-briggs-personality-prediction

Star 32

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 Feb 15, 2023
  • Jupyter Notebook

ksdkamesh99 / Spam-Classifier

Star 15

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 usi…

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 Dec 25, 2020
  • Jupyter Notebook

raj1603chdry / Fake-News-Detection-System

Star 10

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
  • Jupyter Notebook

spChalk / Vaccine-Sentiment-Classifier

Star 5

💉 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.

n-grams lstm gru bag-of-words tf-idf data-preprocessing attention-mechanism roc-curve data-cleaning softmax-regression hyperparameter-tuning bert learning-curve imbalanced-data classification-report bidirectional-rnn count-vectorizer glove-embeddings hashing-vectorizer optuna
  • Updated Sep 22, 2022
  • Jupyter Notebook

rochitasundar / TwitterSentimentAnalysis-BigDataProject

Star 4

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

twitter-api aws-s3 python3 pyspark aws-ec2 twitter-sentiment-analysis aws-athena aws-kinesis-firehose count-vectorizer databricks-notebooks tf-idf-vectorizer accuracy-metrics aws-quicksight roc-auc-score multiclass-evaluator
  • Updated May 2, 2022
  • Jupyter Notebook

shanuhalli / Project-Resume-Classification

Star 4

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.

text-mining corpus regular-expression word-cloud spacy nltk classification ner textract stemming word-clouds count-vectorizer tf-idf-vectorizer part-of-speech-tagging lemmitization count-vectoriation resume-classification
  • Updated Mar 29, 2023
  • Jupyter Notebook

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