I am really interested in who emotions are described through physical expressions like this and how we could operationalize a search to extract them from texts for analysis. Perhaps we could perform a POS extraction for verbs as they occur with out words which may distinguish them?

A very interesting description of Maria. I have very much enjoyed Joyce's use of adjectives throughout the Dubliners. I would be interested in comparing how distinct his adjectives are compared to the other authors we've read.

There are many characters mentioned in the text by name, and some others by "the boy" or "the women". I would be interested in doing a network analysis to see how everyone is connected.

It is interesting all that is implied by the word delirium here. As we have discussed in class, Joyce often uses subtext to communicate more elicit subject. I wonder if there is a way to operationalize finding these in a text. Perhaps some kind of machine learning?

Joyce uses religious references frequently throughout these short stories, though they are not always as explicit as this one. I would be interested in list of words with religious connotations, such as confess, prayed, redeemed ect, and do a frequency analysis. It would be interesting to see how it compared to The Moonstone.

The way the female characters are referred to in this narrative is interesting to me. I would like to pull out the sentences with he and she and see how the different types of language bing used.

This is an interesting choice of adjective. I am really enjoying they choices Joyce makes in instances like this. I would like to do an ngram analysis to see the types of adjectives he uses, and then compare them his contemporaries to see how they are different.

This is a great sentence. The word choice is so interesting and unconventional, yet it conveys the emotion precisely. I would be interested in using computational analysis to examine this sentence and others like it to see if we can operationalize why they work so well.

As I mentioned earlier, an ngram analysis examining the repetitive use of "she" would allow for some interesting results. I think it would also be interesting to run the same ngram analysis on "he" to see how they compare.

Joyce uses some very unique adjectives in these narratives. I would be interested in running a POS analysis and extracting the unusual adjectives, then comparing them with adjectives with the moonstone.

I am interested in the paradox of the two adjectives (ruinous and twinkling) used in the sentence, something I have found reoccurring thought our readings of Joyce. I would be interested in finding sentences in which this paradox occurs and analyze what words are used and in what context.

It is interesting that both this narrative and The Sisters have anonymous narrators. The characters seem a little similar in tone. I would be interested in comparing the two pieces using stylometry to see how similar they are. We could also do a sentiment analysis to see if the have the same tone!

I am interested in phrases like this. "as if to" is an interesting way of describing an action, especially when it IS the action taking place. We could extract all of the ngrams beginning with "as if to" to see what types of actions are occurring and then do a close reading to see if that is what they ARE doing.

There are quite a few religious references throughout the text, and not only in direct reference to the priest . I would be interesting to run they words using a narrative time analysis to see ho they are used through out the entire piece. I would also be interested in running a collocation analysis to see if they appear together frequently.

The technique of a one sided monologue by Mansfield is very captivating. The reader is forced to assume the other side of the conversation. It would be interesting to do a predictive text analysis to see if we could compute what the other side may be!

Mansfield has used this sort of repetition before in Ma Parker as a way to generate sympathy from the reader. I would be interested in see how frequently she uses this type of description/name method throughout all the texts. We could use am ngram frequency run throughout all of the texts.

Mr. Neave is pretty critical as he reflects on the different members of his family and his life at home. Mansfield is indicates his critical observations using adverbs like "too" and "always". I would be interested in doing some sort of computational analysis in which we could look for other words which are also indicators of negative critiques.

Here, Mansfield seems to be playing with the juxtaposition of light and dark again by describing the young women dressed in bright colors and the older women dressed in dark. This play of light and dark appears to be a kind of motif throughout the entire corpus, as Mansfield has used it before in previous texts. I would be interesting to see in what contexts she uses this play of light and dark in other texts using a tf-idf and ngram frequency.

The tone of the text takes a turn about half way through from excitement and expectation to anxiety and apprehension. I would be interested in performing a sentiment analysis on the two halves of this text to see how different they are.

This phrase has occurred more than once in the text. I would be interested in doing a word frequency and colocation analysis to see how often and in what context it is repeated to identify whether or not it is a motif.

I am interested in the adverbs used to invoke feelings about certain characters, such as these "dark figures" here, which are "lounging" against the all. We could do a pos search and also a ngram search to see how characters actions are used to invoke feelings about them.

I'm interested in examining emotions used in text. I would like to do a textual analysis to parse all of the words representing emotions and see how they may or may not be gendered.

There are a lot of references to food and flavors in this passage. I would be interested into doing a word colocation to find out what words are used in what context / how they are being referenced.

Cold has developed into a reoccurring motif, The author has used the cold temperature frequently in different ways. We could use word stylometry to get all of the synonyms for cold and search for them in the text.

There have been some i interesting verb choices and colorful descriptions so far. I think a word colocation analysis would provide us with some robust data to examine the unique ways in which verbs and colors are use.

There is definitely a lot negative sentiment in this narrative. It would be interesting to do a sentiment analysis with this story and the Garden Party, which seems to have more a positive connotation. I would be interested in seeing which turns out to be the more negative of the two.

There are many sections in the text which are structured this way with hyphens to indicate a sort of interjection by the narrator to relate the thoughts and emotions of the characters. I would be interested in performing a concordance to see where these interjections occur and in what context. Do they happen when a character is frustrated? Or excited? Or angry?

The structure of this section really conveys the hustle and bustle of the moment to the reader. It would be interesting to analyze this section and others like it to see how it is so successful at relating the feelings of anxiety and commotion. We could look at verb and punctuation use and compare them to the fest of the text to see how they differ.

There have been some interesting verbs in the narrative thus far, especially this little cluster here. While the use of verbs has been frequent, the verbs them self have been some what gentle and not aggressive or assertive. I would be interested in performing a word frequency analysis to gather all the verbs, followed by a sentiment analysis to see if they are congruent with this theme of gentle submission / obedience which arises in the text.

I have noticed a lot of similes in this text. I think it would be interesting to create a function to help of find them and then do an analysis on what each simile refers to. Then we could derive a pattern from the out put. We could do this be creating an Ngram function to parse them out and then close read them for analysis. Or maybe a coordinates for the words "like a"?

Even this early in the narrative there have a variety of plants and characters introduced (almost like a garden of characters as well as plants). I would be interested in doing a comparison of the variety of characters mentioned, including those mentioned only by description compared with the plants. We perform a word frequency analysis and also look for Ngrams.

This is a very interesting take on "evidence" as being moral if not legal by Sergeant Cuff. It makes me question exactly what he means by that if there is a way to use computational analysis to find out. We could perhaps start by parsing out "evidence" throughout the text with a machine learning algorithm to help he define evidence and then, going forward, device a way (maybe with sentiment analysis) to determine moral evidence from legal evidence.

Sergeant Cuff's narrative is very straight forward and to the point compared to the others, especially Miss Clack. Because Cuff's intention in this narrative is to relay facts to Franklin, and also because he is a detective, Cuff uses few unnecessary adjectives or "flowery" language. I would be interested in running a POS (Parts of Speech) analysis on Cuff's narrative and compare it to Clack and Betteredge, as well as the rest of the text.

Aw we have discussed before in class, there is a motif of addictive substances, like opium, alcohol and laudanum. It would be interesting to do a word collocation/concordance to in what context these substance arise. I would also be interesting in creating a network of the characters based on these substance to see which characters share the same bad habits!

Throughout his narrative Blake repeatedly links the mention of Rachel to the mention of the Moonstone / Diamond. I would be interested in running a word colocation / frequency analysis to see how often this happens in Blake's narrative and throughout the rest of the text. It may also be worth while to do a sentiment analysis and see what the tone is for each mention based on which narrative it came occurred in.

Blake's account of Rachel is clearly distinct form the other narrators because of their romantic past. He mentions her frequently throughout his narrative. I would like to run a frequency count the number of times he mentions Rachel compared tot he rest of the narratives in the book. I wonder if it is possible to isolate the discussions of Rachel in each character's narrative and then do some topic modeling with the extracted texts to examine how Rachel is discussed by each character.

Bruff's impression of Rachel is very different from Miss Clack, but similar to the affectionate tone of Betteredge. I would be interested in running a word frequency count on all of the ways Rachel is described by the different narrators and do a comparison between the words used by the different narrators and also which words they share in her description.

Now that we have a woman narrator, I would be interested to performing a sentiment analysis and compare Miss Clack with Mr. Betteredge and the words they use to describe the female characters in the story in addition to the overall differences in word use and phrasing. It would also make for an interesting study about the author and his ability to create distinct voices for each character.

Miss Clack has made several mentions of wealth, poverty and other financial concerns. It seems that she correlates her narrative with economic status or financially related events, such as chasing a check. I would be interested in doing a frequency count to see how often these types of terms are used in her narrative compared to the others.

Letters have been used throughout the text to add detail and action to the narrative. It would be interesting to create some kind of network connecting the senders and receivers of the letters and see which characters are the receivers and relayers of the information they provide. I would imagine Mr. Betteridge would be a major hub, but I think it would be interesting to see how they all connect and relate.

I find Sergeant Cuffs monologue at this point in the narrative very interesting. He posits his analysis about what occurred as questions to Mr. Betteredge in a way that also describe the scene to the reader without being overly expository. This device is used frequently throughout the narrative. I would be interested to run an analysis on Cuffs dialogue throughout the narrative to see how often he uses this type of questioning inform his detective work. It could be accomplished by analyzing how many question marks occur in his dialogue compared to other punctuation.

Sergeant Cuff is total downer. His dialogue tends to be really negative. I would be interested in doing a text analysis of the words his character uses to see the frequency of words with a negative connotation in comparison to the neutral and positive words used.

Penelope has been a compelling and independent character throughout the narrative, from the ways in which she gives insight to the narrative itself , to this moment here. It would be interesting to extract her character descriptions and speech and compare it to the other female characters in the story to see how they are different / similar. I would also be interested in comparing her to the male characters. Would this be something the sentiment analysis could be used for?

I would be interested in running a word co-location algorithm to analyze the adjectives and nouns used by the narrator when the invoking Robinson Crusoe. It would also be interesting to run a similar algorithm regarding the narrator's description of himself and his actions and examine the relationship between the sets of words.

It would be interesting to run some type of sentiment analysis comparing the descriptions / characteristics of female and male characters throughout the narrative.

Because the narrative jumps around, it would be interesting to map out each event chronologically and to tag it as to how it relates to the moonstone. Perhaps some kind of network / chronology?