Topic: "sklearn-vectorizer"
aquatiko/sentiment-analysis-TfIdf-vectorizer-method
Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.
Language: Jupyter Notebook - Size: 193 KB - Last synced at: 17 days ago - Pushed at: almost 7 years ago - Stars: 16 - Forks: 7
ChristophAlt/embedding_vectorizer
Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and Tengyu Ma. (2016)
Language: Python - Size: 1.34 MB - Last synced at: 11 months ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 4
aditeyabaral/newsnow
Automated document merging and extractive summarization of news articles
Language: Python - Size: 20.5 KB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 5
Arko-Sengupta/Know-Genius
Know-Genius an AI Chatbot who's a General Knowledge Genius!
Language: Python - Size: 192 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0
Elijas/movie-review-sentiment-polarity-classifier
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
rishabh-karmakar/Detection-of-Real-or-Fake-News
Detect Real or Fake News. To build a model to accurately classify a piece of news as REAL or FAKE. Using sklearn, build a TfidfVectorizer on the provided dataset. Then, initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
curiousnish/fake-news-detector
Detect FAKE news using sklearn
Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
arezamoosavi/book-recommend-web-service
This project is a rest-api that recommend books for user
Language: Python - Size: 2.54 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1
HotelTango314/cs5293sp23-project2
The 3rd of 4 NLP Projects - this project clusters a corpus of culinary recipe texts. The cuisine of each recipe is known and each cluster is labeled with the majority cuisine in that cluster. New recipes are then introduced and clustered and labeled with the cuisine of the closest cluster.
Language: Python - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
LaurentVeyssier/Predict-english-speaking-region-of-origin-by-analyzing-tweets
Predict the region of origin of an english-speaking tweet author by analyzing tweet content using machine learning classifier
Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Raquelie/telegram_group_stats
Notebook for experimenting with chat data
Language: Jupyter Notebook - Size: 281 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 2
