Friday, January 24, 2020
Dog Dreams :: essays research papers
Dog Dreams For the past five years my dream has been to own a male Saint Bernard pup out of my old Saint Bernards, Samson and Delilah. Patty, the woman that owns my old companions called and informed me that Delilah was pregnant and was expected to deliver within the next week. I knew that my dream was coming true and I would get my pup. That whole week I was on cloud nine all I could think about was this dog. I went ahead and made plans to pick out my new bundle of joy the following Monday after they were born. Everything was going great, until I received the most disturbing telephone call I had ever received. This call informed me that Delilah had given birth to six beautiful puppies, but a disease in the mother’s milk called milk fever had instantly killed three of the pups and the other three were in critical condition. I asked if I could come and see the three living pups, but she said to wait and see if they survived. Patty told me to call her Saturday night and check on the pups. A s Saturday approached I worked up the nerve and called her. I soon learned that two more had passed away and only one pup was still holding on. Patty told me that the one pup that was still holding on was a male, and he looked just like his father, Samson. This information rekindled my dreams and I began to have some hope. She told me that if anything happened she would give me a call. Sunday went by along with Monday and most of Tuesday. Then around 9:30 while I was at work, one of the servers informed me I had a telephone call. My heart began to race, as I answered the telephone. As I expected it was Patty, she wanted to tell me that the pup had passed away. It felt like a hundred pounds of bricks hit me in the chest. We talked a bit, I thanked her for everything she had done, and I hung up the telephone. All I could think about was that my pup was dead. After so many years of waiting and wanting this pup in the matter of days, it was gone.
Thursday, January 16, 2020
A Wrinkle in Time Novel
Madeleine Lââ¬â¢Engleââ¬â¢s novel A Wrinkle in Time is about a young girl named Meg Murry, who is far from perfect. While she does come from a close, loving family, Meg has low self-esteem and a stubborn personality. As she gets caught up in the battle to save the universe from evil, Meg uses both her strengths and her weaknesses to help her. The novel begins by introducing Meg as a girl who has very low self-esteem.Lââ¬â¢Engle describes Beg making horrible faces at herself in the mirror, flashing a snarling smile of braces and messing up her mouse-brown hair. If Meg sighing loudly at her own reflection isnââ¬â¢t enough to convince the reader that Meg doesnââ¬â¢t like herself, the scene when she yells, ââ¬Å"I hate being an oddball! â⬠should prove the point. Though Meg doesnââ¬â¢t feel good about herself, she does care deeply about her family. She worries about her missing father and eventually goes to Camazotz to save him.While sheââ¬â¢s tessering around the universe, Meg sees her mother crying back on Earth. Megââ¬â¢s love for her mom is so strong that she reacts by getting angry, gaining more strength to use in the battle against evil. In the end, it is Megââ¬â¢s love for her brother Charles Wallace that gives her the power to save him from IT. Throughout the novel, people tell Meg hat sheââ¬â¢s too stubborn. She gets in trouble in math class because she refuses to show her work and do problems the teacherââ¬â¢s way.Sheââ¬â¢s even stubborn when sheââ¬â¢s sent to the office, and Principal Jenkins tells her to ââ¬Å"â⬠¦be less antagonistic. â⬠But it is this stubborn quality that keeps Meg going in the fight against the Man with Red Eyes. A less strong-willed person would have backed down from fear when faced with such an evil character. In conclusion, Meg is such an interesting character because she is not perfect. She is a stubborn girl with low self-esteem, but her love for her family helps her use her weaknesses for strength.
Wednesday, January 8, 2020
Speech Speech Polarity Detection - 3602 Words
Title Speech Polarity Detection submitted by Yadav Swati Satyadev IU1351070011 supervised by Hemant A. Patil ASOCIATE PROFESSOR Thesis Submitted to Indus University Master of Technology DIGITAL COMMUNICATION INDUS INSTITUTE OF ENGINEERING AND TECHNOLOGY RANCHARDA, AHMEDABAD Certificate Acknowledgements I would like to express my deep sense of respect and gratitude towards my guide Dr. Hemant. A. Patil who has been the guiding force behind this project. I want to thank him for giving me the opportunity to work under him. I consider it my good fortune to have got an opportunity to work with such a wonderful person. Without his experience and insights it would have been very difficult for quality work. I am deeply indebted to my guide Prof. Vrushank Shah for his constant motivation. I am also thankful to the authors whose works I have consulted and quoted in this work. My affectionate thanks are due to my family and my seniors at DA-IICT who made me able to do such work. SWATI YADAV (IU1351070011) List of Figures Figure 1: Glottal flow with its Derivative Adapted from [B1] 1 Figure 2: Speech Production Model. Adapted from [B1] 3 Figure 3: Framework of speech polarity detection [4] 8 Figure 4: Algorithm of Iterative Adaptive Inverse Filtering [8] 10 Figure 5: (a) original speech signal, (b) negative polarity speech signal 12 Figure 6: (a) glottal wave of positive speech signal,Show MoreRelatedThe And Information Centric View Of Text Analysis970 Words à |à 4 Pages2008; Cummins et al.2010). Opinion mining is growing area as people are sharing their views, opinions experiences online. Automatic detection and analysis of opinions around products, brands, political issues etc. is a challenging task. An opinion lexicon is a list of opinion expressions or set of adjectives, which are used to indicate opinion/sentiment polarity like positive, negative and neutral. These lexicons were grown by synonyms in WordNet. Using antonyms in WordNet itself other set of lexiconsRead MoreResearch Frameworks Used For Mining And Summarization Are Been Search By People For Gathering The More And More Information Essay1701 Words à |à 7 PagesSenelf [10], derived the latent information and gives a multimodal interface for review scanning and inquiring. Latent information used develop a speech based multimodal interface which grant user to not only inquire about the drugs but also browse a big centralized database of reviews. In this paper, spoken dialogue system involves three methods: Spe ech processing, Language understanding and dialogue management. Author also provides the valuation of dialogue system. Carolin Kaiser, Freimut BodendorfRead MoreThe Importance Of Textual Technology907 Words à |à 4 Pagestokens; the average length of the article is 1126 code. This group will be available on the CLiPS website (www.clips.uantwerpen.be/datasets). They can be freely used for academic research purposes. The first phishing detection experiment was conducted on this data. Deception detection is the task of automatically classifying text as either trustful or deceptive, in our case by studying the writing method of the author. This task has never been investigated for Dutch before. They performed a supervisedRead MoreSurvey On Sentiment Analysis And Opinion Mining2689 Words à |à 11 PagesSentiment140 available on ââ¬Å"http://help.sentiment140.com/for-students/â⬠is twitter datasets available for researchers. The data is automatically extracted by using positiv e and negative emoticons using Twitter Search API. The data consists of six fields- polarity, tweet id, tweet date, the query, user name, and text of the tweet. Facebook dataset is available on- https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0022-FE82-7. This corpus consisting of 10,000 manually annotated FacebookRead MoreLocation Based Sentiment Analysis Of Twitter Data: A Literature2234 Words à |à 9 Pagesthat Sentiment analysis is a technique used for categorization of the product based on the reviews of the user. The categories of the product are good, bad or neutral. In this paper, the general problem of the sentiment polarity categorization has been resolved. The sentiment polarity categorization consists of two phases: sentence level categorization and review level categorization. The sentence level categorization reveals the positive or the negative sentiments whereas the review level categorizationRead MoreNatural Language Processing ( Nlp )7704 Words à |à 31 Pagesthan surveys or focus groups, if this kind of information is indentified in a systematic way. The technique to detect and extract subjective information in text documents is opinion mining and sentiment analysis. In general, the overall contextual polarity or sentiment of a writer about some aspect can be determined using sentiment analysis. The main challenge in this area is the sentiment classification in which the sentiment may be a judgment, mood or evaluation of an object namely film, book, productRead MoreOutline And Outline Of A Letter9612 Words à |à 39 Pagesthere is detection or produces a normal result. When the muscles are contracted action potential appear on the screen of oscilloscope. The muscle contraction increased as increased the action potential of the muscle. Figure 1.24 Normal result 2. Abnormal results : in the abnormal results the human body in the rest position the tissues of the muscles are electrically active. Such that in the rest position there is the detection of the abnormalRead MoreRole Of Social Media Within The Online Community2694 Words à |à 11 Pageseruption of user generated data in online discussion forums and reviews and most especially social media. According to Pang and Lee (2008), the research of sentiment analysis can be broadly classified into two main areas: research investigating the polarity of subjective text and research evaluating the objectivity of subjectivity of textual entities. The following section provides a literature review on the role of social media within the online community. Next, an overview of sentiment analysis isRead MoreIgbo Dictionary129408 Words à |à 518 Pages.......................................................................... 14 6. Grammatical sketch .................................................................................................................................. 15 6.1 Parts of speech ..................................................................................................................................... 15 6.2 Verbs....................................................................................................
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