Hacker News

DECEMBER 11, 2023

A post-incident review of the first Home Alone movie and how parents could leave Kevin behind.

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FlowingData

SEPTEMBER 7, 2023

Rotten Tomatoes aggregates movie reviews to spit out a freshness score for each film. Scores are calculated by classifying each review as either positive or negative and then dividing the number of positives by the total. If a review straddles positive and negative, too bad. “I There’s a problem though.

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Hacker News

APRIL 1, 2023

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Data Science Dojo

SEPTEMBER 12, 2023

Online Reviews: Scrutinize reviews on websites such as Yelp, Amazon, or specialized industry review sites. Customer Support Tickets: Review tickets submitted by customers to gauge their sentiments about your products or services. Netflix uses LLMs to analyze customer reviews of its movies and TV shows.

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Natural Language Processing Azure Machine Learning Machine Learning 513

Tableau

DECEMBER 19, 2023

View Zach’s data viz portfolio on Tableau Public—including several visualizations on movies. When I was a kid we owned two movies, and both starred Dan Aakryod. Movies hold a unique place in culture. Movies are saturated with data, far beyond the obvious. On the surface you’ve got dates, reviews, box office, and budgets.

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Tableau Analytics Analytics Data Analyst 101

Iguazio

SEPTEMBER 20, 2023

The list is divided into a number of groups and types: Q&A Reviews and Ratings Sentiment Analysis Synonyms Emails Long-form Content Audio You can use these datasets for a number of use cases, like creating personal assistants, automating customer service, language translation, and more. Reviews and Ratings 5. Get the dataset here.

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Dataconomy

JUNE 5, 2023

However, please note that this website specializes in movies. Over 40,000 movie titles are available on it, many of which have subtitles and are in 1080p, and it has a sizable user base of over 75 million individuals worldwide. You won’t find any music, games, or software on the YTS website because it only offers movie material.

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Database 182

Data Science Dojo

MARCH 7, 2024

Case Study 4: Movie and Product Recommendations E-commerce and movie streaming platforms optimize their recommendation systems through the power of vector databases. The real-world impact extends to the world of visual content, underscoring the versatility of vector databases.

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AWS Machine Learning Blog

JUNE 8, 2023

Example use cases To explore the impact of this new feature in greater detail, let’s review two examples. [1] 1] First, we used the Similar-Items recipe to find recommendations similar to Disney’s 1994 movie The Lion King ( IMDB record ). In this example, the movie Seven (a.k.a. By tuning the popularity discount to a value of 0.4

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AWS Machine Learning Machine Learning 77

Heartbeat

JANUARY 19, 2024

Import dataset The dataset [source: Kaggle ] contains titles of movies and other information such as: title , type , description , release_year , age_certification , runtime , genres , production_countries , seasons , imdb_id , imdb_score , imdb_votes , tmdb_popularity , and tmdb_score. Set yolo=True and assign it to a variable.

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Smart Data Collective

SEPTEMBER 24, 2021

Machine Learning is already being used in many aspects of our life , from recommending movies or music based on past preferences to giving doctors’ advice on relevant treatments for their patients. Using Machine Learning to Encourage Reviews. How to Set Up Machine Learning for Review-Related Goals.

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phData

FEBRUARY 27, 2023

You will notice that Movies are assigned ratings by users. These ratings are key to determine how one user might value a movie relative to their peer’s preferences. For example, if my friends highly review Lord of the Rings, I will probably like Lord of the Rings. Step 6: Navigate into the MOVIES table within the database.

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Towards AI

MAY 12, 2023

DS-I, Film Reviews The idea here was to recreate a popular dataset for text classification. We had three requirements for the data: Binary classification Easily defined and detected classes Popular and relatively trivial task Our final choice was the IMDB movie review dataset.

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Mlearning.ai

FEBRUARY 11, 2023

The website we are building is a movie recommendation site where users can view information about a collection of movies, leave reviews or comments, and create their own watchlists. Source: Own Elaboration Suppose we have a table where the rows represent users and the columns represent movies. If a cell contains a “?”

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AWS Machine Learning Blog

OCTOBER 9, 2023

In this post, we walk through how to prepare and import the MovieLens dataset , a dataset prepared by GroupLens research at the University of Minnesota, which consists of a variety of user rankings of various movies, into Amazon Personalize using Amazon SageMaker Data Wrangler. [1] We want to build a movie recommender engine based on that.

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AWS Machine Learning Machine Learning Python 90

Smart Data Collective

DECEMBER 10, 2020

Most people use movie streaming services, sites like YouTube, and various forms of social media. The movie recommendations, video recommendations, and recommendations that appear on social media feeds are all influenced by artificial intelligence. Identifying and Removing Fake Reviews. Why Small Businesses Should Learn about AI.

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Towards AI

JUNE 5, 2023

Dataset Size· Benchmarking Our Models Against Published Results This is the third article in a series about fine-tuning transformer models to conduct sentiment analysis of IMDb movie reviews.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

To build Amazon Personalize artifacts in this post, we use a dataset from IMDb, the world’s most authoritative source for movie, TV, and celebrity content, available on AWS Marketplace, as well as the MovieLens dataset prepared by GroupLens research at the University of Minnesota, consisting of user rankings for various movies.

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Dataconomy

OCTOBER 18, 2023

The film achieved high viewership and received mostly favorable reviews. One particular clip from the movie showed a basketball game scene where the audience displayed a complete lack of emotion, revealing that these were digitally created Disney AI extras. However, a closer look reveals a hidden issue.

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AI AI Artificial Intelligence Artificial Intelligence 103

Dataconomy

OCTOBER 11, 2023

We are actually familiar with this method, which is based on the manipulation of human psychology, from spy movies. Regularly reviewing CCTV footage can help identify and address potential vulnerabilities. Isn’t the scenario too familiar? Who is at risk of tailgating attacks?

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Database 121

Google Research AI blog

MAY 15, 2023

seeing examples of movie reviews with “positive sentiment” and “negative sentiment” as labels and performing sentiment analysis using prior knowledge). finding a pattern that positive reviews should be mapped to one label, and negative reviews should be mapped to a different label). Answer: Positive”).

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Dataconomy

OCTOBER 10, 2023

As things stand, “Gollum” is the lowest-rated game of the year on major review aggregation platforms like Metacritic and OpenCritic. The mechanism was designed to emulate fascinating talks from the movie, but it fell short. Before the release, a hurriedly created workaround was included.

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Flipboard

JULY 18, 2023

G/O journalists tell me they’re upset about the execution of the stories — a bot-written item about how to watch all the Star Wars movies in chronological order had errors, for instance — but even more so, the fact that they exist at all. It’s a disaster for employee morale,” a G/O journalist told Vox.

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Mlearning.ai

AUGUST 7, 2023

Imagine, Take Youtube as an example today I might buying a smart watch or something and I’ll look at all the videos of reviews (or) product reviews (or) I might listen to a new artist songs. let’s take a very popular movie called (Jurassic Park). Example Of Youtube. It becomes much-much harder. Let’s take an example.

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Dataconomy

JANUARY 16, 2024

Imagine having the ability to create audio content with the voice of your favorite celebrity – sounds like something out of a sci-fi movie, right? In the entertainment industry, they are used for dubbing movies or creating new content featuring popular celebrities without the need for their physical presence.

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Mlearning.ai

AUGUST 30, 2023

" sentiment_pipe(text, **sent_kwargs) Generation Settings gen_kwargs = {"min_length": -1, "top_k": 0.0, "top_p": 1.0, "do_sample": True, "pad_token_id": tokenizer.eos_token_id} Optimize Model Training loop will take about 2 hours to complete. tolist() query_tensors = df_batch["input_ids"].tolist()

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Azure Machine Learning Machine Learning ML 52

Google Research AI blog

NOVEMBER 10, 2022

Example of few-shot prompting on movie review sentiment classification. The model is given one example of a task (classifying a movie review as positive or negative) and then performs the task on an unseen example. Without any further fine-tuning, language models can often perform tasks that were not seen during training.

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Natural Language Processing Machine Learning Machine Learning 98

Dataconomy

JUNE 22, 2023

These AirPods are available for just under $100, and with more than 500,000 five-star reviews, they are undoubtedly a customer favorite on Amazon. Through Netflix, Prime Video, Peacock, and other services (subscriptions necessary), you can watch in vivid 4K ultra HD and select from a huge selection of movies, TV series, and songs.

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Dataconomy

JANUARY 2, 2024

This involves a meticulous review process, where both AI tools and human insight play critical roles. You can create a myriad of things, just like a Disney AI movie script! This guide encourages aspiring authors to experiment with AI, using it as a tool to amplify their creative voice. AI is no joke.

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DataRobot Blog

MAY 5, 2022

In the previous demo, we start with a training set of movie reviews and sentiment labels in a Snowflake table. DataRobot ingests this training data to produce models that predict if a review is positive, negative, or neutral.

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AWS Machine Learning Blog

MARCH 30, 2023

With Trending-Now, you can surface items from your catalog that are rising in popularity with higher velocity than other items, such as trending news, popular social content, or newly released movies. For the interactions data, we use ratings history from the movies review dataset, MovieLens.

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Dataconomy

OCTOBER 26, 2023

We created our Disney AI movie story, meet Lila! Provide a detailed explanation of the situation and request a review of your case. In a nutshell, the “Discord banned image controversy” is a real-life internet mystery for now that we explored, tested, and unveiled. What do you need to do if you get a Discord image ban?

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Dataconomy

AUGUST 2, 2023

this tool utilizes advanced AI characters from various genres, such as books, movies, and games, to engage users in captivating conversations. Once you’re on the site, you’ll be greeted with an array of diverse AI characters from various genres like books, movies, and games.

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Tableau

AUGUST 4, 2021

Participants covered everything from sports, movies, travel, and music to subjects such as tree health and covid-19. (As Next, our final-round guest judges independently reviewed the Top 10 vizzes, scored each using the same criteria as the first-round judges, and selected three finalists.

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Tableau 100

Tableau

AUGUST 4, 2021

Participants covered everything from sports, movies, travel, and music to subjects such as tree health and covid-19. (As Next, our final-round guest judges independently reviewed the Top 10 vizzes, scored each using the same criteria as the first-round judges, and selected three finalists.

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Tableau 98

AWS Machine Learning Blog

APRIL 24, 2023

Solution overview The following diagram illustrates the solution architecture covering real-time inference, feedback workflow, and human review workflow, and how those components contribute to the Amazon Comprehend training workflow. After the reviewer identifies the objection from the input data, we store the result in a DynamoDB table.

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Victor Zhou

AUGUST 3, 2020

The Problem: Classifying Movie Reviews We’re going to tackle a classic introductory Natural Language Processing (NLP) problem: doing sentiment analysis on IMDb movie reviews from Stanford AI Lab’s Large Movie Review Dataset. The full source code is at the end. There’s one more small thing to do.

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