Essays about: "NLTK"
Showing result 1 - 5 of 7 essays containing the word NLTK.
-
1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
University essay from Lunds universitet/Statistiska institutionenAbstract : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. READ MORE
-
2. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. READ MORE
-
3. Smart Search Engine : A Design and Test of Intelligent Search of News with Classification
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Background Google, Bing, and Baidu are the most commonly used search engines in the world. They also have some problems. For example, when searching for Jaguar, most of the search results are cars, not animals. This is the problem of polysemy. READ MORE
-
4. Twitter based sentiment effect on stock market returns
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : The purpose of this study is to investigate the effect of Twitter based sentiment on stock market returns. We use a uniquely large dataset of 95 million tweets concerning the 102 biggest US companies, S&P 500 index and other market keywords for the year 2017. READ MORE
-
5. Answering Game Rulebook Enquiries Through Natural Language Processing
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The aim of this research project was to create a conversationalinterface for retrieving information from rulebooks. This conversationalinterface takes the shape of an assistant named OLGA (shortfor Open Legend Game Assistant) to whom you can give enquiriesabout the rules of any game loaded into the program. READ MORE