Evolution and Characteristics of "Carbon Neutrality Movies"

"Carbon neutrality movies"are movies that focus on carbon neutrality as the object of expression and dissemination.Using carbon neutrality as an element,it influences the development of the plot,reflects environmental changes,and focuses on climate change caused by carbon emissions.At the same time,it focuses on offsetting carbon emissions through carbon neutrality behavior,showcasing the impact of carbon neutrality.From the perspective of ecological movies,the evolution of carbon neutrality movies at three stages can be explored.The first stage is high-carbon movies that reflect the high conflict between humans and the natural environment.The second stage is low-carbon movies,reflecting humanity's pursuit of a harmonious coexistence between humans and nature,thus adopting green and low-carbon behaviors.The third stage is carbon neutrality movies,which awaken or guide the public to pay attention to carbon emissions,promote low-carbon living,guide life practice in a carbon neutrality way,and create a better life.There are three characteristics of"carbon neutrality movies",including scientific reflection on global warming,advocating energy conservation and emission reduction in daily life,and promoting clean energy in policies.

Content-Based Movie Recommendation System Using MBO with DBN

The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.

Modified Sine Cosine Optimization with Adaptive Deep Belief Network for Movie Review Classification

Sentiment analysis(SA)is a growing field at the intersection of computer science and computational linguistics that endeavors to automati-cally identify the sentiment presented in text.Computational linguistics aims to describe the fundamental methods utilized in the formation of computer methods for understanding natural language.Sentiment is classified as a negative or positive assessment articulated through language.SA can be commonly used for the movie review classification that involves the automatic determination that a review posted online(of a movie)can be negative or positive toward the thing that has been reviewed.Deep learning(DL)is becoming a powerful machine learning(ML)method for dealing with the increasing demand for precise SA.With this motivation,this study designs a computational intelligence enabled modified sine cosine optimization with a adaptive deep belief network for movie review classification(MSCADBN-MVC)technique.The major intention of the MSCADBN-MVC technique is focused on the identification of sentiments that exist in the movie review data.Primarily,the MSCADBN-MVC model follows data pre-processing and the word2vec word embedding process.For the classification of sentiments that exist in the movie reviews,the ADBN model is utilized in this work.At last,the hyperparameter tuning of the ADBN model is carried out using the MSCA technique,which integrates the Levy flight concepts into the standard sine cosine algorithm(SCA).In order to demonstrate the significant performance of the MSCADBN-MVC model,a wide-ranging experimental analysis is performed on three different datasets.The comprehensive study highlighted the enhancements of the MSCADBN-MVC model in the movie review classification process with maximum accuracy of 88.93%.

Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews.Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data.Opinion mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or negative.The task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie reviews.Movie reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular movie.The summary of all reviews can give a general idea about the movie.This study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version 2.0.Before applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better results.On the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version 2.0.This study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.

An Announcement About Watching a Movie

Boys and girls,May I have your attention,please?I have something important to tell you.In order to help us know more about getting to the moon,there will be a science movie in the school hall at 7:30 this Sunday evening.The movie From the Earth to the Moon is very interesting and it tells us all about one of the greatest achievements of the 20th century—the moon landing,which is also humans’most important scientific achievement.Anyone who wants to watch the movie please get there on time.That’s all.Thank you.

On Promoting Listening Comprehension of English Majors through Original English Movies

In recent years,with the reform of College English Teaching in China,listening has occupied a great proportion of both the examination content and classroom teaching.When everyone is seeking a high-efficiency,fast teaching method,the use of English original film teaching methods arises spontaneously.Its authentic speaking style,real language environment and rich cultural connotation not only improve the listening comprehension ability of English majors,but also enable students to intuitively understand the culture of Western countries.In this study,by referring to a large number of books and documents,this paper puts forward corresponding strategies for various problems arising from the use of English original film teaching in colleges and universities.English original film teaching can not only create a better learning environment,and stimulate students’interest in learning,but also enable students to actively participate in class discussions.

On Chinese translation of English movie titles

The translation of titles is the important part in the translation of movies. This paper proposes three principles and summarizes six translation methods in the translation of movie titles.

利用Windows Movie Maker对DV片段进行后期制作

随着数字化设备的涌现，大家总希望把自己的一系列活动记录下来，随之DV走进了寻常百姓家。一方面我们在为自己的拍摄而兴奋着，另一方面却为自己的一大堆录像带而发愁着。因为说起制作影像资料，大家可能还比较陌生，觉得似乎十分高深莫测，想自己制作却不知道如何下手。下面就如何利用Windows Movie Maker这一软件制作影像材料进行必要的说明。

A Comparative Analysis of Different Culture Values Reflected in the Disney Movie Mulan

Taking American Disney Movie Mulan as an object of research, this paper intends to compare Chinese and American cultural differences from three aspects, filial piety vs. individualism, family priority vs. the pursuit of success and gender discrimination vs. feminism.

Translation of Movie Titles Guided by Foreignization Theory

On the basis of introducing the theory of foreignization,this paper aims to discuss the translation of movie titles with the application of it and a conclusion is drawn that foreignization can retain the characteristics of the original movie titles to keep a distance between the source language culture and target language culture.

Movie-assisted Teaching and Learning of British and American Novels

There is a great discovery that most respondents prefer to use movies to assist their learning of English novels and they are more competent in the course according to a survey. Through watching movies, learners could better understand and appreciate the basic elements of a novel including plot, character, setting, narrative point of view, theme and style. Thus this approach is recommended to teachers and learners of British and American novels.

Research on the Development Direction of Traditional Broadcast Television Movie Media under Background of New Media and Internet

In this paper, we conduct research on the development direction of traditional broadcast television movie media under background of new media and lnternet. In recent years, with the computer technology network communication technology and constant innovation rapid development of digital technology, digital new media got rapid development. Under the digital new media industry has gradually become the core industry of 21 st century knowledge economy and the new economic growth point. But there are still some problems in the digital of new media development. How to treat these problems to take effective countermeasures is vital to healthy development of the new media. Our research proposes corresponding guidance and the perspective on the development orientation which acts as the paradigm and the guideline.

Conflict in the Movie “The Treatment” with a Cross-Cultural View

Analyzes the conflicting cases through which the movie develops its plot inspiring an inter-cultural thinking and argumentation from perspectives of attitudes towards law and its social factors, and the family values impacting the conflicts. The author proves the truth of the above two to be the primary causes with thorough analysis of the story details appealing to abundant consentaneous understandings and theories.

Windows Movie Maker在课件制作中的应用案例分析

多媒体课件在现代教学中占有越来越重要的地位,主要是其本身特质:采用真实、生动、灵活的手段表达抽象、生硬的知识,能够充分激发学生的学习兴趣,提高对知识的理解的透彻性,同时教师也摆脱了"黑板式"教学。

Movie Maker2.0视频编辑的研究及应用

说起视频的后期处理,很多读者想到的就是后期处理软件,比如 Premiere、会声会影等等,这些软件功能比较齐全,上手也比较快,深得读者的喜爱。但是,在不装任何软件的情况下,Windows xP Movie Maker2.0一样可以实现视频的采集和编辑。

On the Role of English Movies Watching in Classroom Teaching

English movies have authentic oral expression, authentic language environment and rich cultural connotations. Appreciating English movies can not only make one learn the language knowledge, but also have access to cultural knowledge. Language is the carrier of culture. Learning a language is a process of access to culture. English movies can effectively develop the students'English oral communicative competence and thus making teachers achieve the ultimate goal of English teaching.

Effects of Online English Movie Reviews on Improving Students' Writing

This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.

The Advantages of Movies as Listening Material in College English Teaching

In multimedia environment, many teachers try to use new means and methods to teach listening and of which English movies with great advantages become more and more popular listening material easily accepted by students in college English class.

THE EFFECT OF SUBTITLED MOVIES ON LISTENING COMPREHENSION OF EFL LEARNERS

As one of the most important communication skills,listening plays a crucial role in English teaching.Therefore,it’s significant to find an effective teaching mode to improve students’listening.This paper aimed at exploring the effect of subtitled movies on listening comprehension of EFL learners.

Effects of supervised movie appreciation on the improvement of college students’ life meaning sense

The purpose of this study was to explore the effects of supervised movie appreciation on improving the life meaning sense among college students. The intervention combined by “pre-video, post counseling” was conducted on the experimental group, while the control group received no intervention. Results have shown that the scores on the subscales of will to meaning, life purpose, life control, suffer acceptance and on the total scale have improved significantly. No gender difference was found on the intervention effect, and participants receiving intervention maintained higher level on related subscales a week later, indicating that supervised movie appreciation is an effective way to improve the life meaning sense among college students.