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Showing 1 to 7 of 7 for “"Topic extraction"”.

  1. A system analysis of improvements in machine learning

    … language translation, text summarization topic extraction and sentiment analysis. Moreover, current implementations are run in an offline batch-mode operation and are unfit for real time needs. Newer machine learning algorithms are being designed that make better use of sampling and …

    mit Repository record for A system analysis of improvements in machine learning (opens in a new tab)

  2. SCENE: Structural Conversation Evolution Network

    … been, ‘what do people talk about?’ focusing on topic extraction and topic modeling. While content is clearly critical for many real-world applications, we have largely ignored identifying ‘how’ people communicate. Conversation structure and communication patterns provide deep insight into how …

    uiuc Repository record for SCENE: Structural Conversation Evolution Network (opens in a new tab)

  3. Profile Creation with Topic Modeling and Semantic Analysis from Conversations about COVID-19 among U.S. Older Adults

    … process, we propose an approach for automated topic extraction with sentiment analysis using a natural language processing technique known as topic modeling. While automated methods for quantitative data are common, methods for qualitative data, especially focus group text, have not been …

    mit Repository record for Profile Creation with Topic Modeling and Semantic Analysis from Conversations about COVID-19 among U.S. Older Adults (opens in a new tab)

  4. A Pointillism Approach for Natural Language Processing of Social Media

    … or other larger constructs are in terms of the topics discussed. Social media is very challenging for natural language processing because it challenges the notion of a word. Social media users regularly use words that are not in even the most comprehensive lexicons. These new words can be …

    unm Repository record for A Pointillism Approach for Natural Language Processing of Social Media (opens in a new tab)

  5. Arabic News Text Classification and Summarization: A Case of the Electronic Library Institute SeerQ (ELISQ)

    … tools for Named Entity Recognition (NER) and topic identification for Arabic, two new tools were constructed: RenA for Arabic NER, and ALDA for Arabic topic extraction tool (using the Latent Dirichlet Algorithm). Controlled experiments with each of RenA and ALDA, involving Arabic speakers and …

    vt Repository record for Arabic News Text Classification and Summarization: A Case of the Electronic Library Institute SeerQ (ELISQ) (opens in a new tab)

  6. ESSAYS IN FINANCIAL ECONOMETRICS

    … The second chapter: ``Exchange Rate Supervised Topic Modelling,'' shows how to use a hybrid of supervised and unsupervised learning models to go from text from news articles to an FX news index that can be used to enhance traditional models from the FX literature. To do so we rely on Supervised …

    penn Repository record for ESSAYS IN FINANCIAL ECONOMETRICS (opens in a new tab)

  7. Detecting user demographics in twitter to inform health trends in social media

    … on Twitter, including the user's conversational topic choices, account profile information, and personal information. In addition, this work explores the usage of synonym expansion for detecting social media users' ethnicities. To better capture a user's conversational topic choices using …

    njit Repository record for Detecting user demographics in twitter to inform health trends in social media (opens in a new tab)