Sökning: "sentiment score"

Visar resultat 26 - 30 av 35 uppsatser innehållade orden sentiment score.

1. 26. Extracting Customer Sentiments from Email Support Tickets : A case for email support ticket prioritisation

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Albert Fiati-Kumasenu; [2019]
   Nyckelord :Machine Learning; Natural Language Processing; Sentiment Analysis; Cluster Ensemble; VADER; Customer support;

   Sammanfattning : Background Daily, companies generate enormous amounts of customer support tickets which are grouped and placed in specialised queues, based on some characteristics, from where they are resolved by the customer support personnel (CSP) on a first-in-first-out basis. Given that these tickets require different levels of urgency, a logical next step to improving the effectiveness of the CSPs is to prioritise the tickets based on business policies. LÄS MER

3. 27. Sentiment Analysis of Twitter Data Using Machine Learning and Deep Learning Methods

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Kundan Reddy Manda; [2019]
   Nyckelord :Machine Learning; Sentiment Analysis; Twitter data; Deep Learning; Naïve Bayes; Twitter Sentiment Analysis;

   Sammanfattning : Background: Twitter, Facebook, WordPress, etc. act as the major sources of information exchange in today's world. The tweets on Twitter are mainly based on the public opinion on a product, event or topic and thus contains large volumes of unprocessed data. LÄS MER

4. 28. Text to features for Swedish text

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Man Dan Ly; [2019]
   Nyckelord :;

   Sammanfattning : In text mining, texts are usually transformed into numerical vectors or feature vectors, before they are given to a machine learning algorithm for text classification. In this project, a set of features for classifying tweets in Swedish was created. LÄS MER

5. 29. Measuring the information content of Riksbank meeting minutes

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Sofia Fröjd; [2019]
   Nyckelord :Latent Dirichlet Allocation; Natual Language Processing; Central Bank communication; Hawk-o-meter; Riksbank;

   Sammanfattning : As the amount of information available on the internet has increased sharply in the last years, methods for measuring and comparing text-based information is gaining popularity on financial markets. Text mining and natural language processing has become an important tool for classifying large collections of texts or documents. LÄS MER

7. 30. Best Practices for Innovation Management. : A Study on Large Companies in Sweden.

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :ANDREJS CELUKANOVS; SEBASTIAN WATTLE BJÖRK; [2019]
   Nyckelord :Innovation; Innovation Management; Best Practices for Innovation Management; Innovation Practices; ISO 56002; Ten Types of Innovation; Innovation Ranking; Sweden’s Most Innovative Companies; Organizational Innovativeness; Innovation Management System; Sentiment analysis; Opinion mining.; Innovation; Innovationsledning; Praxis inom Innovationsledning; ISO 56002; Ten Types of Innovation; Innovationrankning; Sveriges Mest Innovativa Företag; Innovationsledningssystem; Sentimentanalys.;

   Sammanfattning : The overall aim of this thesis was to identify and analyze good innovation management practices in Sweden’s most innovative large companies, excluding governmentally owned organizations. Out of 500 large organizations in Sweden, the top 25 most innovative companies have been ranked based upon over 7,000 printed press articles from 2018 available through Retriever Media. LÄS MER