Natural Language Processing And Machine Learning Techniques

References are properly cited within the paper; reference page includes all citations; proper title page and introduction are present and evidence of spell check and grammar check are not obvious. Seven to 10 errors noted.

The organization of this paper was not always clear throughout. The author’s talking points were out of order, which was where my confusion started. It continued when not all the talking

Is the document well supported? Do you notice a synthesis of source material? Is it clear that where the sources are from?

This can be one of the selected articles from your previous literature review or a new peer-reviewed article.

You have been struggling with the contents of CHEM 200. It is very important for you to work more closely and frequntly with your Achieve tutor for this class. Please, follow your CHEM 202 intructor's advice and go to the tutoring sessions offered by Department of Chemestry to support the work you do at Achieve.

I will build upon the technical writing skills I learned in junior lab to write the assignments in this course. Knowledge from fluids, heat and mass, separations, reactors, and thermodynamics will all be used to design chemical processes. The basic box and arrow diagrams that were first learned in CHE211 will be expanded in this course to develop process flow diagrams. These skills will be used to meet the instructor’s goals of using compositions and flows to determine process equipment size, its corresponding cost, flow diagrams, and how to synthesize the

Aim: To classify unknown substances according to their structure type and to observe how the structure of materials affects their uses.

The article states it was published in March of 2010 and has since been updated. If the author has conducted any further research the website and article does not reflect. This article can be deemed irrelevant given the information provided and the lack of

Messina et al. (2009) study has utilized the literature reviews well and but failed to

Our task was to identify the powder in each bag containing different amounts of moles. The mole provides a standard unit of measure that can be used to compare a wide variety of substances. A mole of atoms gives you a physical representation of what a single atom. The molar mass is the total mass of an element divided by one mole in that element. The molar mass can be used as a physical property to identify unknowns by converting it to moles and seeing which one is the closest to the moles in the bag. Our guiding question to answer was: “What are the identities of the unknown compounds?”

The problems with their work begins almost immediately in the initial literature review. The literature review is plagued by Ill-defined, or simply

We hasten to thank you for responding to the submitted manuscript. As per your request, the authors have studied the reviewer's comments and it was found that all comments and mentioned points are approximately correct, except for a few vague cases. Answers to the highlighted reviewer's comments respectively, are given point by point in following. Also, the numbering of figures has been reset in the manuscript.

A metal scrap yard was confronted with the issue of being unable to distinguish and identify the unknown metals that lay at waste in the yard. It is necessary to know which type of metal the scraps belong to in order to know where to send it for recycling. The problem at hand is how does an individual identify an unknown metal. As a scientist, the most functional and effective way of understanding which metal is which, is by acquiring its intensive properties. Examples of intensive properties are: temperature, color, hardness, density, melting point, boiling point, molecular weight, and pressure. These properties are key characteristics to look for when attempting to classify unknown metals. The intensive properties of the metal will allow

Reviewer 3 suggested that we include a non-technical description of the model’s fit to the data and the parameter estimates. We included the former, but after careful consideration, we decided against include including the latter. We made this decision for two reasons. First, we felt that introducing and describing the model coefficients would be distracting from the main results of the

Today in the world of information technology everyone is using internet to share and access data. But the data is in the form of natural language. And as we all know that all natural languages have basic feature that it have ambiguity. It is something which can be understand in two or more ways, and that depends on what situation it occurs. There are different types of ambiguities present in natural languages like lexical ambiguity, structural or grammatical ambiguity, ambiguity of scope, pragmatic ambiguity etc. Among all these ambiguities, lexical ambiguity is generally present in natural languages. This ambiguity can be defined as the ambiguity which occurs because a word has various meaning. So, to use information technology in best way we need to eliminate ambiguity from the sentences with the help of tool called word sense disambiguation.