Communication in a Global Village

Communication in a Global Village Internet has changed this world into the Global village. Communication is the only way to survive. There are several ways and channels to communicate each other. Nowadays, we are communicating with each other through different mediums like text messages, voice and video calls etc. Chatting is one of them. Understanding the moods each other can be a strong tool for better relationships. We often start chatting without knowing mood of our opponent and may get unpredictable responses. To avoid this we can start a topic according to the mood. To overcome this issue, a simple technique is proposed in this study. This study is undertaken to create an effective environment by chatting; where chatting is done through voice, the voice will be converted into text then applying simple techniques of data mining with Naà ¯ve Bayes, the emotions of the opponent will be sensed. INTRODUCTION Chatting through text is common today; we may not be able to judge other persons current mood and we might start such a topic which does not suits other persons mood. This paper presents an approach to emotion estimation that assesses the content from textual messages. In this paper, the emotion estimation module is applied to text messages produced by a chat system and text messages coming from the voice-recognition system. Our objective is to adapt a multimedia presentation by detecting emotions contained in the textual information through thematic analysis; we can determine how to communicate with fellow. The estimation of emotions or identification of personalities in chat rooms has several advantages mainly guarding the chatters from conflicting personalities and matching people of similar interests. 2. Materials and Methods 2.1 Related Work Lot of work has been done for identification of emotions from text. Approaches that exist can be categorized [1] into non-verbal, semantic and symbolic. Textual chat messages are automatically converted into speech and then instance vectors are generated from frequency counts of speech phonemes present in each message. In combination with other statistically derived attributes, the instance vectors are used in various machine-learning frameworks to build classifiers for emotional content.[1]. Anjo Anjewierden, Bas Koll ¨offel, and Casper Hulshof [4] derived two models for classifying chat messages using data mining techniques and tested these on an actual data set. The reliability of the classification of chat messages is established by comparing the models performance to that of humans. 2.2 Java Speech API Java Speech API [7] contains speech synthesis and speech recognition. Speech Recognition technology works by converting audio input containing speech into text. It has several phases through which speech is converted into text with some accuracy. Also some third party API is also available on the basis of Java Speech API. 2.3 Bayesian Network Classification is a basic task in data analysis and pattern recognition that requires the construction of a classifier, that is, a function that assigns a class label to instances described by a set of attributes. The induction of classifiers from data sets of pre classified instances is a central problem in machine learning. Numerous approaches to this problem are based on various functional representations such as decision trees, decision lists, neural networks, decision graphs, and rules [5]. 3. Chat Emotion Mapper: CHATEM 3.1 Approach The current approach will first convert voice into text. Early speech recognition systems tried to apply a set of grammatical and syntactical rules speech. If the words spoken fit into a certain set of rules, the program could determine what the words were. However, human language has numerous exceptions to its own rules, even when its spoken consistently. In [6] facial expressions are used to communicate emotions. Todays speech recognition systems use powerful and complicated statistical modeling systems. These systems use probability and mathematical functions to determine the most likely outcome. The two models that dominate the field today are the Hidden Markov Model and neural networks. These methods involve complex mathematical functions, but essentially, they take the information known to the system to figure out the information hidden from it. The Hidden Markov Model is the most common, so well take a closer look at that process. During this process, the program assigns a probability score to each phoneme, based on its built-in dictionary and user training. There is some art into how one selects, compiles and prepares this training data for digestion by the system and how the system models are tuned to a particular application. 3.2 Processes 3.2.1 Parsing Phase The first stage after receiving an input sentence is to create a parse tree using the Stanford Parser. The parser works out the grammatical structure of sentences, for instance: which groups of words go together as phrases and which word is the subject or the object of a verb. We also analyze it in order to find if there is a negation. 3.2.2 Emotion Extraction Phase At this phase we assign every word with an object that will hold the following information: array of emotions (happiness, sadness, anger, fear, surprise and disgust), negation information, the dominant emotion of the word and the word itself. Once weve established the POS type for each word in the sentence, we proceed by extracting the possible senses hidden behind each word using [3] Jwordnet ( JWordNet is a large lexical database of English) In this database, nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms called synsets, each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations, resulting in the formation of a network of meaningfully related words and concepts to construct a mapping between synset offsets from WordNet, and one of the possible emotion types. In order to do that, we needed to choose base words that will represent each of the emotion types. At the end of this stage we now know wh ich of the synsets has an emotional value as described above, allowing us to update the emotion array of the object holding the word being analyzed, and eventually assign a word with its most probable emotional sense out of the possible emotional senses available. 3.2.3 Negation Detection The intuitive way to deal with negation is to emphasis the counter emotion of the emotion found as most dominant in the word. For example Happy and Sad, the negation will turn a word marked with emotional value Happy, to be marked with emotional value Sad and vice versa. 3.2.4 Sentence Tagging The method we use to deal with multi-emotional sentence is: When we reach a word with an emotional value, we open an appropriate tag and close this tag either when we reach a word with a different emotional value, or at the end of the sentence. In case we reached a word with a different emotional value, we open a new emotion tag and in case that the emotional value is similar to the previous one, we continue on to the rest of the sentence. Discussion and Conclusion Above mentioned technique was repeatedly applied to different group of users, we come to know that, Java Speech API was not accurate 100% and there was limitation and initially results were not appealing, but it performed well on chatting done using text messages. Future Research Work In our future work, we plan to improve the Emotion Estimation module, e.g. by integrating the recorded user (client) information into the analysis of emotions. According to [2], past emotional states could be important parameters for deciding the affective meaning of the users current message. Some analysis of voice features like pitch, frequency and tone can help us to identify emotions and mode of user.

Communication Plan Final Proposal Essay

Usepersuasive communication to convince the CEO to take your suggested approach to solve Best Game Productions’ dilemma. The CEO must perceive the project as something the company needs. Considerthe noise that will detract the CEO from fully receiving your message, and construct your communication to address or avoid that noise. Createtwo tools to measure the effectiveness of your consultant communications. In designing these tools, consider who the audience of the tools will be and how to generate the most honest and objective feedback possible. Discusshow you will use the tools that you created to measure your effectiveness in the organization. Who will you ask to complete the tools, and how will you present the tools to the audience? What methods will you use to avoid bias in the feedback process? How will you use the feedback you receive to evaluate and improve your effectiveness as a consultant? Consider why the company is pursuing a solution and why it is pursuing it now. Consider the company’s customers. Communicatethe solution that you have selected for Best Game Productions. Format your paper and presentation consistent with APA guidelines. Create a 20-slide Microsoft ® PowerPoint ® presentation, with speaker notes, for the decision makers at Best Game Productions. Address the following in your presentation:  · The project background  · The deliverables (what you are going to do for them) To get this material Click this link – https://bitly.com/1oJKWq6 When you get to college, it is a strange feeling. You have to go to class, which you are used to, but you have a lot more freedom than you may be used to. There are a lot of things to know about class, but there is much more to know about your life at college. Here are some tips to help you. Communications – General Communications Write a persuasive proposal submission of no more than 700 words to the CEO of Best Game Productions. Complete the following in your persuasive proposal submission: Describe the project in terms the CEO can understand. Consider the CEO’s perspective, needs, and style of communication. Usepersuasive communication to convince the CEO to take your suggested approach to solve Best Game Productions’ dilemma. The CEO must perceive the project as something the company needs. Considerthe noise that will detract the CEO from fully receiving your message, and construct your communication to address or avoid that noise. Createtwo tools to measure the effectiveness of your consultant communications. In designing these tools, consider who the audience of the tools will be and how to generate the most honest and objective feedback possible. Discusshow you will use the tools that you created to measure your effectiveness in the organization. Who will you ask to complete the tools, and how will you present the tools to the audience? What methods will you use to avoid bias in the feedback process? How will you use the feedback you receive to evaluate and improve your effectiveness as a consultant? Consider why the company is pursuing a solution and why it is pursuing it now. Consider the company’s customers. Communicatethe solution that you have selected for Best Game Productions. Format your paper and presentation consistent with APA guidelines. Create a 20-slide Microsoft ® PowerPoint ® presentation, with speaker notes, for the decision makers at Best Game Productions. Address the following in your presentation:  · The project background  · The deliverables (what you are going to do for them)  · The methodology (how you are going to accomplish it)  · The outcome (what you will achieve for them)

Natural Disasters in the Caribbean

The natural disasters that are typically experienced in the Caribbean can have catastrophic and devastating impacts on the environment, economic development and social structure of these islands. Severe damage to the built infrastructure that has supported communities on Caribbean islands for decades can place a huge strain on economic activity. The social impacts that are experienced following natural disasters consist of homelessness, injury, suffering, sickness, disease, and even death.This paper will introduce the major natural disasters that have affected life in the Caribbean and they include hurricanes, earthquakes, volcanoes, landslides, flooding and tsunamis. Other than Barbados, all Windward Islands of the Caribbean are of volcanic origin. Volcanoes are ruptures in the earth’s surface that allow for the escape of lava and gas. The two types of volcanic eruptions, explosive and effusive, can both have devastating consequences on the environment and the Caribbean inhab itants.Although not a common occurrence, several volcanic eruptions have take place on Caribbean islands. For example, an eruption on St. Vincent in 1979 left economic losses of 1 billion dollars, but fortunately no casualties. Flooding is another very impactful natural disaster that is one of the more common types of natural disasters to greatly affect CARICOM countries. Sometimes called the silent killer, flooding can greatly affect socio-economic development.Whether it is coastal or river flooding, it has the ability to greatly damage the agricultural landscape as well as introduce water-borne disease that can lead to death in local inhabitants. There is a disproportionate vulnerability of CARICOM countries to natural disaster demonstrated by the numerous events that have occurred over the last few hundred years. The intrinsic vulnerability is due to the small size of Caribbean islands, their insularity and remoteness, and the economic, environmental and demographic factors that are associated with these islands.Furthermore, there is limited hazard forecasting ability for several CARICOM countries. The CARICOM countries are geographically set in a location that makes them vulnerable to natural disasters. The Caribbean climate is tropical and temperatures range between approximately 24 °C and 32 °C throughout all islands as a whole. The prevailing trade winds along with year round sunny skies set a warm climate for CARICOM countries with both dry and wet season.Precipitation depends on the elevation of the island and is also effected by water currents. The environmental impacts of Caribbean natural disasters are correlated with the large coastal zones on the numerous islands and the damage can vary from affecting the entire landscape or the falling on one tree. It was noted that from 1960-1989, â€Å"hurricanes in the Greater Caribbean Basin resulted in the deaths of 28,000 people, disrupted the lives of 6 million people and destroyed property worth U. S. $16 billion. All the Caribbean nations that have already faced the fury of the hurricane Sandy and have had to fight back by burying the dead, finding shelter for the homeless and counting the economic losses. Sandy moved northwards with gusts in over 110 mph destroying homes, crops and roads on its way. More than 69 people were killed in six countries. Even though Haiti was not in Sandy’s direct path, the island was greatly affected as Haiti has confirmed that 52 people have dead and a lot of people are missing. Buildings were engulfed in mudslides or swept out to sea by flood tides.The Government in Port-au-Prince declared that about 200,000 people are homeless and only 17,000 shelters have been provided. The country has short-term fears of cholera and other water-borne disease and besides that there is also a huge food shortages because the agricultural landscape has been badly damaged by the hurricane Sandy. Smaller scale fatalities and damage were also reported in Jam aica, the Dominican Republic, Puerto Rico and the Bahamas, where seawaters surged over coastal barriers to deluge roads and buildings.February 8th, 1843, the Eastern Caribbean was affected by the biggest ever recorded earthquake. The region from St. Maarten to Dominica experienced very intensive damages. All masonry was destroyed and the earthquake also caused a big fire that destroyed a lot of wooden structures in Antigua. The estimated number of deaths is about 4000-6000 people, which represents 1/3 of the population. This earthquake was felt as far south as Caracas and British Guiana and was even felt in Washington, which is 2000 km away.The magnitude of this earthquake is estimated to have a range of 8. 0-8. 5. On January 12, 2010, a 7. 3 magnitude strong earthquake happened in Haiti, the capital Port-au-Prince. The World Health Organization confirmed that the Haiti earthquake resulted in 222,500 death and 196,000 more injured. The epicenter was 15 kilometers from the Haitian ca pital, Port-au-Prince. According to the preliminary estimates of the International Committee of the Red Cross, this devastating earthquake will result in 3 million Haitian refugees.

Dissolve Definition in Chemistry

In chemistry, to dissolve is to cause a solute to pass into a solution. Dissolving is also called dissolution. Typically, this involves a solid going into a liquid phase, but dissolution can involve other transformations as well. For example, when alloys form, one solid dissolves into another to form a solid solution. Specific criteria must be met for a process to be considered dissolution. For liquids and gases, the substance that dissolves must be capable of forming non-covalent interactions with the solvent. For crystalline solids, the crystal structure needs to be broken up to release atoms, ions, or molecules. When ionic compounds dissolve, they separate into their component ions in the solvent. The term solubility refers to how readily a substance dissolves in a specific solvent. If dissolution is favored, the substance is said to be soluble in that solvent. In contrast, if very little solute dissolves, it is said to be insoluble. Keep in mind, a compound or molecule may be soluble in one solvent yet insoluble in another. For example, sodium chloride is soluble in water but not as soluble in organic solvents such as acetone or turpentine. Examples Stirring sugar into water is an example of dissolving. The sugar is the solute, while the water is the solvent. Dissolving salt in water is an example of dissolution of an ionic compound. The sodium chloride (salt) dissociates into sodium and chloride ions when it is mixed with water. Releasing the helium from a balloon into the atmosphere is also an example of dissolving. The helium gas dissolves into the larger volume of the air.