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Movie Review

ONLINE MOVIE REVIEW SYSTEM

ONLINE MOVIE REVIEW SYSTEM

... Online Movie Review System provides reviews and ratings to any movie and suggest movie to the ...common review related to a movie by using Latent-Semantic Analysis (LSA) ...

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Movie Review Classification Based on a Multiple Classifier

Movie Review Classification Based on a Multiple Classifier

... First we describe the data set for the experiment. We evaluated our method with movie review documents that were used in Pang et al. (2002). The dataset consists of 700 positive reviews and 700 negative ...

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Movie Review Sentimen Analisis Dengan Metode Naïve Bayes Base on Feature Selection

Movie Review Sentimen Analisis Dengan Metode Naïve Bayes Base on Feature Selection

... online review sites and personal blogs, for example, disclosure of the personal feelings that allow users to discuss everyday problems, exchanging political views, evaluate services and ...dataset Movie ...

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Reliable Baselines for Sentiment Analysis in Resource Limited Languages: The Serbian Movie Review Dataset

Reliable Baselines for Sentiment Analysis in Resource Limited Languages: The Serbian Movie Review Dataset

... Collecting data for sentiment analysis in resource-limited languages carries a significant risk of sample selection bias, since the small quantities of available data are most likely not representative of the whole ...

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TMRS: WEB Blog Application for Total Movie Review System Using Sentiment Analysis

TMRS: WEB Blog Application for Total Movie Review System Using Sentiment Analysis

... Abstract-- Many users all over the world make use of Internet for sharing their experiences and giving opinions regarding a particular product or service on the World Wide Web and this phenomenon has increased the ...

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Sentimental Analysis of Movie Review using Machine Learning Algorithm with Tuned Hypeparameter

Sentimental Analysis of Movie Review using Machine Learning Algorithm with Tuned Hypeparameter

... In paper [9] focused on using the Random Forest to perform sentiments analysis of movie review dataset by Tuning of hyperparameters in random forest. On the basis of experimental results, random forest ...

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Sentiment Classification Of Movie Review And Twitter Data Using Machine Learning

Sentiment Classification Of Movie Review And Twitter Data Using Machine Learning

... and movie review ...and movie review data are collected from two API’s in real time and then the different tweets/reviews are classified as either being positive or ...

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Sentimental Analysis for Product and Movie Review Data

Sentimental Analysis for Product and Movie Review Data

... language for movie review data. After watching movies, using any product or visiting some place, we can post movie reviews, product reviews or tourism related reviews. On the other hand, other people ...

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Web Blog Mining using Internet Movie Database (IMDb) for Movie Review and Summarization

Web Blog Mining using Internet Movie Database (IMDb) for Movie Review and Summarization

... a movie review a label of “positive” or “negative” or “objective” that predicts whether the author of the review liked the movie or disliked ...it. Movie reviews talk about things and ...

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TFIDF Classification Using Movie Datasets

TFIDF Classification Using Movie Datasets

... ABSTRACT: In Sentiment Classification refers to the computational techniques for classifying whether the sentiments of movie review are positive or negative. Statistical Techniques based on Term Frequency ...

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A Review on Movie Script Classification using Sentimental Analysis Approach

A Review on Movie Script Classification using Sentimental Analysis Approach

... Here X denotes a positively oriented word or string of words and Y denotes a negatively oriented word or a string of words. Thus we find the co-occurrence of word with a positive word and with a negative word. Then we ...

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Movie DiC: a Movie Dialogue Corpus for Research and Development

Movie DiC: a Movie Dialogue Corpus for Research and Development

... Movies were mainly crawled from the action, crime, drama and thriller genres. However, as each movie commonly belongs to more than one single genre, much more genres are actually represented in the dataset. Table ...

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ROBUST FACE IDENTIFICATION USING MOVIE

ROBUST FACE IDENTIFICATION USING MOVIE

... the movie and TVs, called movies character ...a movie, character are the focus center of interest for the ...the movie structures and ...semantic movie indexs and retrieval scene ...

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Recommendation system: Online movie store

Recommendation system: Online movie store

... A. Ghose, and P. Ipeirotis proposed two ranking mechanisms for ranking product reviews: a consumer-oriented ranking mechanism ranks the reviews according to their expected helpfulness, and a manufacturer-oriented ranking ...

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Translation strategies used by Iranian translators in translation of idioms for movie subtitles: The case of Forrest Gump movie

Translation strategies used by Iranian translators in translation of idioms for movie subtitles: The case of Forrest Gump movie

... As an outright answer to the research that was "what are the most commonly used translation strategies by Iranian translators in translating idioms for subtitles in the m movie Forrest Gump?" should be ...

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Gender and Speech in a Disney Princess Movie

Gender and Speech in a Disney Princess Movie

... this movie based on Lakoff’s (1975) model of female ...the movie used almost equal number of female speech elements in their ...the movie do not behave stereotypically, their speech still contain the ...

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Movie Guide: Akeelah and the Bee

Movie Guide: Akeelah and the Bee

... the movie after Akeelah has shown several demonstrations of Self-Discipline by motivating herself and putting in 110% effort to accomplish her spelling bee ...

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Impact Movie and Messaging Development

Impact Movie and Messaging Development

... Impact Movie as described above Name: ______________________________________________________________ Cost: _____________ (Enter from quote provided) Title: ...

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Personalized Movie Recommendation System with...

Personalized Movie Recommendation System with...

... In this learning process, we are predicting user ratings for a movie based on personal interest, user similarity interest, and trust values. We are calculating similarity interest, personal interest and trust ...

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Deterministic Adoption in Movie Industry

Deterministic Adoption in Movie Industry

... If one were to model this characteristic, the overall decision is to be determined by the initial value of a movie. If the initial opening is successful, and create large positive remarks of the film, the ...

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