Essays about: "TF-IDF"

Showing result 1 - 5 of 74 essays containing the word TF-IDF.

1. 1. Deep Learning Based Sentiment Analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Shashank Kalluri; [2023]
   Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

   Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

3. 2. Detection of insurance fraud using NLP and ML

   University essay from Lunds universitet/Matematisk statistik

   Author : Rasmus Bäcklund; Hampus Öhman; [2023]
   Keywords : Technology and Engineering;

   Abstract : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. READ MORE

4. 3. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jacob Lundgren; Sam Taheri; [2023]
   Keywords : Artificial Intelligence AI ; Machine Learning; Big Data; Natural Language Processing NLP ; Pre-Trained BERT; Fine-Tuned BERT; TF-IDF; Logistic Regression; Support Vector Machine SVM ; Cloud GPU; Operating Costs; Performance Efficiency; Business Intelligence;

   Abstract : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. READ MORE

5. 4. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
   Keywords : Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

   Abstract : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. READ MORE

6. 5. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Malvin Lundqvist; [2023]
   Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

   Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE