A Tutorial on text analytics with latent semantic analysis

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  • Опубликовано: 12 ноя 2024

Комментарии • 12

  • @umermuhammad826
    @umermuhammad826 Год назад

    Thanks respected teacher, I am grateful for the wonderful tutorial. I am beyond words to express my gratitude and respect for you, your work, your efforts and you. Many many thanks!!!!

    • @DataCentricInc
      @DataCentricInc  Год назад

      You are welcome

    • @umermuhammad826
      @umermuhammad826 Год назад

      @@DataCentricInc Respected Teacher
      I hope you will be doing well.
      I am sending this message to inquire if you have a tutorial on Meta Analysis? There are a couple on RUclips but I am so tuned to your tutorials that I just wanted to know (or request) if that is possible.
      TIA.

  • @guganesan.ilavarasan
    @guganesan.ilavarasan 2 года назад +2

    Verra level!

  • @TegeneLegese
    @TegeneLegese 11 месяцев назад

    Thank you very much.
    Can we do sentiment analysis with other languages?
    Please keep up the hard work. up

  • @guganesan.ilavarasan
    @guganesan.ilavarasan 2 года назад +1

    Have you made a video on TF-IDF with the topic modelling results?

    • @DataCentricInc
      @DataCentricInc  2 года назад +1

      No I haven’t

    • @guganesan.ilavarasan
      @guganesan.ilavarasan 2 года назад

      @@DataCentricInc Can you please guide me through a good tutorial to do so on RUclips? I'm an MSc student from UCL, and your videos are contributing a huge part to my dissertation.

  • @lujain5139
    @lujain5139 Год назад

    how can i do this using python?

  • @ahmadalqurneh9774
    @ahmadalqurneh9774 2 года назад

    Hello, is there a library in R, which allow to export emails from Gmail and save it in text format?

    • @DataCentricInc
      @DataCentricInc  2 года назад

      Hi Ahmad, you can check out this resource: blog.gsmart.in/parse-and-extract-data-from-gmail-to-google-sheets/

    • @ahmadalqurneh9774
      @ahmadalqurneh9774 2 года назад

      @@DataCentricInc Thank you so much