sa_intro.tex 2.29 KB
 Loïc Barrault committed Nov 10, 2019 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 %!TEX root = text_processing.tex %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame} \frametitle{} \vfill \centering \Huge{\edinred{Sentiment Analysis}} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame} \frametitle{Sentiment Analysis: Outcomes} \begin{block}{by the end of the SA session, you will be able to} \begin{itemize} \item understand and explain the relevance of the topic \item differentiate between objective and subjective texts \item provide a critical summary of the main approaches for the problem \item list the main elements in a sentiment analysis system \item explain how sentiment analysis systems are evaluated \end{itemize} \end{block} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame} \frametitle{Sentiment Analysis: Overview} %\begin{block}{} \begin{itemize} \item Definition of the problem of \alert{sentiment analysis} \item Main approaches to sentiment analysis are based on: \begin{itemize} \item Ontology: \item Lexicon: \begin{itemize} \item Binary \item Gradable \end{itemize} \item Corpus (supervised machine learning) \begin{itemize} \item Naive Bayes  Loïc Barrault committed Mar 08, 2021 47  \item \alert{Deep Learning} \ra\ see last lecture  Loïc Barrault committed Nov 10, 2019 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76  \end{itemize} \end{itemize} \item Evaluation of sentiment analysis approaches \end{itemize} %\end{block} \end{frame} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{frame} \frametitle{Sentiment Analysis: sources} %\begin{block}{} \begin{itemize} \item Based on slides by Rob Gaizauskas, ... \item which are based on survey and slides by Bing Liu (University of Illinois at Chicago), 2012. \item[] \item https://monkeylearn.com/sentiment-analysis/ \item https://arxiv.org/ftp/arxiv/papers/1801/1801.07883.pdf \item https://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/ \item https://callminer.com/blog/sentiment-analysis-examples-best-practices/ \item https://www.wonderflow.co/blog/sentiment-analysis-examples \item https://towardsdatascience.com/deep-learning-for-sentiment-analysis-7da8006bf6c1 \end{itemize} %\end{block} \end{frame}