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    6 работ(-а,-ы) найдено, цены указаны в USD
    Text Clustering using Unsupervised Learning - NLP -- 2 6 дней(-я) left
    ПОДТВЕРЖДЕН

    I'm looking for a smart gig to work on Text Clustering. The dataset consists of text with other features in numerical format. Right now the dataset is limited but the data collection is in progress. In a way, this project is similar to the Customer review clustering. I expect you have prior knowledge in NLP, Feature engineering, clustering, etc. I'm dropping the sample dataset down below.

    $22 (Avg Bid)
    $22 Ср. заявка
    4 заявок(-ки)

    I am looking for someone to write a python code that calculate text similarities. We are going to provide you with all the source dataset and you provide me with the code and final dataset. This is the first task of a project that will do several other similar tasks. You can find the file describing the task attached.

    $153 (Avg Bid)
    $153 Ср. заявка
    21 заявок(-ки)

    I need developer experience with gpt-3 api, i will develop site like we will use the same api GPT-3, i am serious employer you can view my reviews, if you can make this project let me know.

    $1272 (Avg Bid)
    $1272 Ср. заявка
    25 заявок(-ки)

    Translation and Summarization of any Hindi Movie/Sports Review in Hindi to English

    $7 / hr (Avg Bid)
    $7 / hr Ср. заявка
    12 заявок(-ки)
    Data Augmentation in NLP 3 часов(-а) left

    A project on Data Augmentation in NLP where we can use an ensemble approach using 3 - 4 text data augmentation techniques and later using some similarity filter like universal sentence encoder, we can choose the best augmentation technique for the dataset, and also to use different types of datasets too, for comparision.

    $145 (Avg Bid)
    $145 Ср. заявка
    7 заявок(-ки)

    Hey! There, I am pursuing MTech and as part of the academic curriculum, I have to publish a research paper in Scopus Indexed Journal. So the Problem is like my guide suggested writing a paper on Data Augmentation in NLP where we can use an ensemble approach using 3 - 4 text data augmentation techniques and later using some similarity filter we can choose the best augmentation technique for the dataset, and also to use different types of datasets too, for comparison. I couldn't find how to start that's why I landed here and found it helpful in this. I've attached a Visual concept of that.

    $147 (Avg Bid)
    $147 Ср. заявка
    4 заявок(-ки)

    Топ-статьи сообщества NLP