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WorksheetsNLP301c quiz6
Total questions: 20
Worksheet time: 11mins
A transducer maps between FST one set of _________and another.
Words
Letters
Symbols
Sentences
Benefits of sentiment analysis includes:
Sentiment analysis helps businesses process huge amounts of data in an efficient and cost-effective way.
Sentiment analysis models can help you immediately identify these kinds of situations and gauge brand sentiment, so you can take action right away.
Tagging text by sentiment is highly subjective, influenced by personal experiences, thoughts, and beliefs. By using a centralized sentiment analysis system, companies can apply the samecriteria to all of their data, helping them improve accuracy and gain better insights.
All of the above
the sense of the word depends on the words of that particular word.
Relating
Same
Neighboring
Dependent
Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun.
True
False
_________ is a vocabulary, a list of words, a dictionary.
Corpus
WordNet
Lexicon
None of the above
You have created a document term matrix of the data, treating every tweet as one document. Which of the following is correct, in regards to document term matrix?
Removal of stopwords from the data will affect the dimensionality of data
Normalization of words in the data will reduce the dimensionality of data
Converting all the words in lowercase will not affect the dimensionality of the data
Machine Learning & Statistical Inference are the popular methods for implementing___.
Lexical Analysis
Tokens and Quantifiers
NLP
None of the above
Natural Language generation is the main task of Natural language processing.
True
False
Assume a corpus with 350 tokens in it. We have 20 word types in that corpus (V = 20). The frequency (unigram count) of word types "short" and "fork" are 25 and 15 respectively. Which of the following is the probability of "short" (PMLE("short"))?
25/350
26/370
26/350
25/370
Social Media platforms are the most intuitive form of text data. You are given a corpus of complete social media data of tweets. How can you create a model that suggests the hashtags?
Perform Topic Models to obtain most significant words of the corpus
Train a Bag of Ngrams model to capture top n-grams - words and their combinations
Train a word2vector model to learn repeating contexts in the sentences
All of these
It focuses about the proper ordering of words which can affect its meaning.
Syntax Analysis
Semantic Analysis
Lexical Analysis
Pragmatic Analysis
___________ is the task of identifying and categorizing key information (entities) in text.
Text Summarization
Extractive Summarization
Abstractive Summarization
Named entity recognition
Derivational morphology changes both the meaning and the content of a listeme, while inflectional morphology doesn't change the meaning, but changes the function.
Meaning, Content, Listeme, function
Meaning, Listeme, content, function
Content, meaning, function, Listeme
Function, content, meaning, Listeme
Which of the following techniques can be used to compute the distance between two word vectors in NLP?
Lemmatization
Euclidean distance
Cosine Similarity
N-grams
______ is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
Lexical analysis
Syntactical analysis
Hybrid analysis
Sentiment Analysis
Which is not regex command from following?
Strsplit ()
Strjoin()
Grep()
Gsub()
When semantic ambiguity occurs?
when the meaning of the words themselves can be misinterpreted.
Words having many meanings.
Both a & b
None of the above
Trains two independent LSTM language model left to right and right to left and shallowly concatenates them
GPT
BERT
ULMFit
ELMo
Let us assume that CorpA is a corpus of English with approximately 560 million tokens. Following are the counts of unigrams and bigrams from the corpus;
snow | purple | snow
30250 | 12321 |0
Find the probability of P(snow|purple) using maximum likelihood estimation without smoothing.
12321
30250
0.4073
0
POS is the process of marking up a word in a text as corresponding to a particular part of speech, based on both its _________and its_________
Sets & meaning
Definition & contexts
Analysis & reporting
Sets & definitions
