A codebase to support a pure JSON search engine requiring no backend for any XHTML5 document collection
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Updated
Apr 30, 2024 - HTML
A codebase to support a pure JSON search engine requiring no backend for any XHTML5 document collection
A sandbox for tokenising text using the Porter stemming algorithm 🌱
A collection of programming libraries and tools used by various hyperimpose projects.
Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.
This is a search engine that searches through a given corpus for queries.
A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an
PySpark phonetic and string matching algorithms
A complete research and comparison of text mining concept using various stemming techniques(NLP). With the help of a case study (Twitter Sentiment Analysis) we have tried to analyse the output and taken the results.
A machine learning oriented project that analysis tweets and predict whether the sentiments are positive or negative
Detecting fake news through NLP and Machine Learning!
Sentiment analysis of movie reviews based on NLP and Machine Learning!
"# lab-program-1_chu-john_cedrick" Python Implementation of Porter Stemmer
MacOS desktop application for processing Google Takeout export files
The MOOC Recommender System utilizes NLP techniques for course recommendations in Massive Open Online Courses (MOOCs). It processes raw data, leveraging Tokenization, Porter Stemming, Cosine Similarity, etc., to extract tags from course descriptions, summaries, syllabuses, instructors, and subjects.
NLP program to identify whether the news article is real or fake.
A Search Engine based on the principle of TF-IDF and comparing documents in a vector space using Cosine Similarity
♻️ HW2 of Intelligent Information Retrieval MSc Course ECE@UT
🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT
Movie Recommender System Using Cosine Similarity.
A content based movie recommender system using cosine similarity
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