学年

質問の種類

英語 中学生

英語 名詞、冠詞、形容詞、副詞です。 間違いがありましたら指摘していただきたいです( . .)"

alia. 1 基本問題 <名詞の複数形〉 次の名詞の複数形を書きなさい。 (1) class classes mouses (2) story stories (5) box boxes 20 名詞 冠詞 形容詞 副詞 159 in this vil day than yester です。 speak German, さんでした。 (3) knife knives こうです。 tea? a No, □ (4) mouse ☐ (6) potato potatoes ☐ (7) Japanese Japanese ☐ (8) country countries ☐ (9) woman women (10) American American (1) child children (12) wife wives 12 〈数量の表し方〉 次の英文の空所に内から適語を選んで書きなさい。(1回ずつ使用) ☐ (1) I need a pieces of paper. (2) May I have a (3) I bought a of water, please? of shoes yesterday. glass Park sheet Cup (4) Mr. Tanaka needs some (5) Let's take a break and have a of chalk. of coffee. eup () を並べか (1語余る) glass sheet pieces Sunday. pair 3 <冠詞> 次の英文の空所に, a, an, the のうち適する語を書きなさい。 不要なら×を書きなさい。 bird. The the 3). (1) I have a bird has a long tail. ☐ (3) (2) The An moon goes around hour has sixty minutes, and the earth. a guitar, but cannot play minutę has sixty seconds. 語余る) piano. ☐ (5) June is longest river in sixth month of the year. the United States? tennis. I usually play it twice a week. (4) My brother can play ☐ (6) What is the (7) I like to play <形容詞の注意すべき用法> 次の日本文の意味を表すように、空所に適語を書きなさい。 □ (1) 私は誕生日のプレゼントには何か大きな物がほしい。 I want something hig □(2) 何か冷たい物でも飲みましょうか。 for my birthday present. Shall we drink something cold □(3) そのバンドのメンバーの一人ひとりがとても人気があります。 Each □ (4) 私は2等賞でした。 member of the band is very popular. I got the second prize. □ (5) その映画はとてもわくわくしました。 The movie was very excited. 5 <副詞の注意すべき用法〉 次の文の( )内から適語を選び, 記号を○で囲みなさい。 (1) Kazue plays the guitar (P very 1 much) well. (2) I like summer (7 very 1 much better than winter. (3) We're going shopping this afternoon. Are you going, (7 too 1 either)? (4) I don't like baseball. How about you? I don't like it, (too either).

解決済み 回答数: 2
TOEIC・英語 大学生・専門学校生・社会人

この長文問題の答えと解説をお願いします。

15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

回答募集中 回答数: 0