Essays about: "Natural Language Processing NLP"
Showing result 11 - 15 of 211 essays containing the words Natural Language Processing NLP.
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11. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE
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12. Investigations of Free Text Indexing Using NLP : Comparisons of Search Algorithms and Models in Apache Solr
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : As Natural Language Processing progresses societal and applications like OpenAI obtain more considerable popularity in society, businesses encourage the integration of NLP into their systems. Both to improve the user experience and provide users with their requested information. READ MORE
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13. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. READ MORE
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14. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE
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15. 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)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