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1. colab.research.google.com › github › eugenesiowSentiment Analysis on IMDB Movie Reviews - Google Colab

   colab.research.google.com › github › eugenesiow

   The dataset used is a balanced collection of (50,000 - 1:1 train-test ratio) IMDB movie reviews with binary labels: postive or negative from the paper by Maas et al. (2011). The current...

2. keras.io › 2 › apiIMDB movie review sentiment classification dataset - Keras

   keras.io › 2 › api

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   tf_keras.datasets.imdb.load_data( path="imdb.npz", num_words=None, skip_top=0, maxlen=None, seed=113, start_char=1, oov_char=2, index_from=3, **kwargs ) Loads the IMDB dataset. This is a dataset of 25,000 movies reviews from IMDB, labeled by sentiment (positive/negative).

3. People also ask

   Can IMDb data be used for sentiment analysis?

   • The IMDB dataset, which contains movie reviews for sentiment analysis, is a common starting point. The goal is to download the IMDB dataset conveniently, then process and explore it in Python using TensorFlow, transforming the raw data into a usable format for ML models.

   Exploring the IMDB Dataset with TensorFlow: A Python Guide

   blog.finxter.com/exploring-the-imdb-dataset-with-tensorflow-a-python-guide/

   See all results for this question

   What is the IMDb movie reviews dataset?

   • In this article, I will be using the IMDB movie reviews dataset for this study. The dataset contains 50,000 reviews — 25,000 positive and 25,000 negative reviews. An example of a review can be seen in Fig 1, where a user gave a 10/10 rating and a written review for the Oscar-winning movie Parasite (2020).

   Performing Sentiment Analysis on Movie Reviews | by Bryan Tan | Towar…

   towardsdatascience.com/imdb-reviews-or-8143fe57c825

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   What is the IMDb movie review data problem?

   • A common dataset for natural language processing (NLP) experiments is the IMDB movie review data. The goal of an IMDB dataset problem is to predict if a movie review has positive sentiment ("It was a great movie") or negative sentiment ("The film was a waste of time"). A major challenge when working with the IMDB dataset is preparing the data.

   Preparing IMDB Movie Review Data for NLP Experiments

   visualstudiomagazine.com/articles/2022/03/03/preparing-imdb-movie-data.aspx

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   What is a large movie review dataset?

   • Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. Figure ( tfds.show_examples ): Not supported.

   imdb_reviews | TensorFlow Datasets

   www.tensorflow.org/datasets/catalog/imdb_reviews

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4. www.tensorflow.org › datasets › catalogimdb_reviews | TensorFlow Datasets

   www.tensorflow.org › datasets › catalog

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   • Imdb_Reviews/Plain_Text
   • Imdb_Reviews/Bytes
   • Imdb_Reviews/Subwords8k
   • Imdb_Reviews/Subwords32k

   Config description: Plain text

   Dataset size: 129.83 MiB

   Feature structure:

   See full list on tensorflow.org

   Config description: Uses byte-level text encoding withtfds.deprecated.text.ByteTextEncoder

   Dataset size: 129.88 MiB

   Feature structure:

   See full list on tensorflow.org

   Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith8k vocab size

   Dataset size: 54.72 MiB

   Feature structure:

   See full list on tensorflow.org

   Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith32k vocab size

   Dataset size: 50.33 MiB

   Feature structure:

   See full list on tensorflow.org

5. emilhvitfeldt.github.io › dataset_imdbIMDB Large Movie Review Dataset — dataset_imdb • textdata

   emilhvitfeldt.github.io › dataset_imdb

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   IMDB Large Movie Review Dataset. Source: R/dataset_imdb.R. The core dataset contains 50,000 reviews split evenly into 25k train and 25k test sets. The overall distribution of labels is balanced (25k pos and 25k neg).

6. blog.finxter.com › exploring-the-imdb-dataset-withExploring the IMDB Dataset with TensorFlow: A Python Guide

   blog.finxter.com › exploring-the-imdb-dataset-with

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   Mar 8, 2024 · The IMDB dataset, which contains movie reviews for sentiment analysis, is a common starting point. The goal is to download the IMDB dataset conveniently, then process and explore it in Python using TensorFlow, transforming the raw data into a usable format for ML models.

7. search.r-project.org › html › dataset_imdbR: IMDB Large Movie Review Dataset - search.r-project.org

   search.r-project.org › html › dataset_imdb

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   IMDB Large Movie Review Dataset Description. The core dataset contains 50,000 reviews split evenly into 25k train and 25k test sets. The overall distribution of labels is balanced (25k pos and 25k neg). Usage dataset_imdb( dir = NULL, split = c("train", "test"), delete = FALSE, return_path = FALSE, clean = FALSE, manual_download = FALSE )

8. colab.research.google.com › github › dipanjannCIMDB Movie review.ipynb - Colab - Google Colab

   colab.research.google.com › github › dipanjannC

   np.load = lambda *a,**k: np_load_old(*a, allow_pickle=True, **k) # load the dataset but only keep the top n words, zero the rest. top_words = 5000. (X_train, y_train), (X_test, y_test) =...